Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG
Geekbench ML Score
10482
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 22 2024 02:59 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A2 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4872
911.7 IPS |
|
|
Image Classification (F16)
|
100% |
4838
905.2 IPS |
|
|
Image Classification (I8)
|
100% |
4365
816.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
7114
118.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7116
118.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
6510
108.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
59532
72.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
67929
82.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
53233
64.5 IPS |
|
|
Object Detection (F32)
|
100% |
3974
296.7 IPS |
|
|
Object Detection (F16)
|
100% |
3950
294.9 IPS |
|
|
Object Detection (I8)
|
61% |
3798
283.6 IPS |
|
|
Face Detection (F32)
|
100% |
14404
171.3 IPS |
|
|
Face Detection (F16)
|
100% |
14520
172.7 IPS |
|
|
Face Detection (I8)
|
89% |
12266
145.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
27130
210.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
28843
223.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
25370
196.7 IPS |
|
|
Style Transfer (F32)
|
100% |
108287
142.4 IPS |
|
|
Style Transfer (F16)
|
100% |
91285
120.1 IPS |
|
|
Style Transfer (I8)
|
98% |
83225
109.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18566
663.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18724
668.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14230
508.2 IPS |
|
|
Text Classification (F32)
|
100% |
1959
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1983
2.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1201
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
2513
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2512
46.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1546
28.5 IPS |
