Micro-Star International Co., Ltd. GP65 Leopard 10SDK
Geekbench AI Score
393
Single Precision Score
428
Half Precision Score
677
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TofuBoi |
| Upload Date | November 03 2024 12:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GP65 Leopard 10SDK |
| Motherboard | Micro-Star International Co., Ltd. MS-16U7 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.5 IPS |
|
|
Image Classification (Q)
|
99% |
343
64.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
521
8.47 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
2.55 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
4.05 IPS |
|
|
Pose Estimation (Q)
|
97% |
2014
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
98% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
89% |
349
28.0 IPS |
|
|
Face Detection (SP)
|
100% |
802
9.52 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
667
7.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
1564
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
1896
14.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
1333
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5777
7.43 IPS |
|
|
Style Transfer (HP)
|
100% |
8671
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4945
6.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1080
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1492
55.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.7 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.0 IPS |
|
|
Text Classification (Q)
|
97% |
210
281.6 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (HP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (Q)
|
60% |
202
4.51 IPS |
