Micro-Star International Co., Ltd. Prestige 15 A11SB
Geekbench ML Score
2405
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Puffin |
| Upload Date | March 03 2024 02:24 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 15 A11SB |
| Motherboard | Micro-Star International Co., Ltd. MS-16S6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1147
214.7 IPS |
|
|
Image Classification (F16)
|
100% |
1151
215.3 IPS |
|
|
Image Classification (I8)
|
100% |
925
173.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1802
30.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1739
29.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1343
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
11763
14.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
11775
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
5740
6.95 IPS |
|
|
Object Detection (F32)
|
100% |
1300
97.0 IPS |
|
|
Object Detection (F16)
|
100% |
1281
95.6 IPS |
|
|
Object Detection (I8)
|
54% |
922
68.8 IPS |
|
|
Face Detection (F32)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (F16)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (I8)
|
89% |
1684
20.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6195
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6185
48.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
4366
33.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24950
32.8 IPS |
|
|
Style Transfer (F16)
|
100% |
25040
32.9 IPS |
|
|
Style Transfer (I8)
|
98% |
15336
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3568
127.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3543
126.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1521
54.3 IPS |
|
|
Text Classification (F32)
|
100% |
738
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
710
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
438
629.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1001
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1015
18.7 IPS |
|
|
Machine Translation (I8)
|
70% |
537
9.88 IPS |
