Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG
Geekbench ML Score
3082
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 22 2024 02:53 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1551
290.2 IPS |
|
|
Image Classification (F16)
|
100% |
1555
291.0 IPS |
|
|
Image Classification (I8)
|
99% |
2745
513.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1413
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1500
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2431
40.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5694
6.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
5745
6.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
20173
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1556
116.2 IPS |
|
|
Object Detection (F16)
|
100% |
1620
121.0 IPS |
|
|
Object Detection (I8)
|
62% |
1418
105.9 IPS |
|
|
Face Detection (F32)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (F16)
|
100% |
3487
41.5 IPS |
|
|
Face Detection (I8)
|
89% |
3622
43.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6237
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6363
49.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12458
96.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13886
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13629
17.9 IPS |
|
|
Style Transfer (I8)
|
98% |
18748
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2564
91.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2519
90.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3984
142.3 IPS |
|
|
Text Classification (F32)
|
100% |
1127
1.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
392
562.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1541
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1569
28.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2529
46.5 IPS |
