Micro-Star International Co., Ltd. GP65 Leopard 10SDK
Geekbench AI Score
1993
Single Precision Score
1028
Half Precision Score
2208
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TofuBoi |
| Upload Date | November 02 2024 11:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| 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% |
1288
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
96% |
1904
355.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1472
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3590
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3010
3.51 IPS |
|
|
Pose Estimation (Q)
|
87% |
6539
7.72 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (Q)
|
86% |
1338
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
2701
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3728
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1559
12.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3754
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8608
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6725
8.64 IPS |
|
|
Style Transfer (Q)
|
87% |
10124
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1564
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2108
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
565
754.4 IPS |
|
|
Text Classification (Q)
|
97% |
384
513.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.43 IPS |
|
|
Machine Translation (Q)
|
60% |
1352
30.2 IPS |
