Micro-Star International Co., Ltd. Prestige 15 A11SB
Geekbench ML Score
2239
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Puffin |
| Upload Date | March 03 2024 02:18 AM |
| Views | 9 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1300
243.3 IPS |
|
|
Image Classification (F16)
|
100% |
1317
246.5 IPS |
|
|
Image Classification (I8)
|
99% |
2648
495.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1139
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1109
18.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1419
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3232
3.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
3217
3.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
10794
13.1 IPS |
|
|
Object Detection (F32)
|
100% |
1246
93.0 IPS |
|
|
Object Detection (F16)
|
100% |
1044
77.9 IPS |
|
|
Object Detection (I8)
|
62% |
1398
104.4 IPS |
|
|
Face Detection (F32)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
1930
23.0 IPS |
|
|
Face Detection (I8)
|
89% |
3642
43.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3832
29.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3794
29.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
8971
69.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7836
10.3 IPS |
|
|
Style Transfer (F16)
|
100% |
7388
9.72 IPS |
|
|
Style Transfer (I8)
|
98% |
13680
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1635
58.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1616
57.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2996
107.0 IPS |
|
|
Text Classification (F32)
|
100% |
833
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
889
1.28 KIPS |
|
|
Text Classification (I8)
|
98% |
415
596.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1534
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1595
29.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2009
37.0 IPS |
