Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
1874
Single Precision Score
920
Half Precision Score
2762
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TTomi77123 |
| Upload Date | December 14 2024 07:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.2 IPS |
|
|
Image Classification (Q)
|
96% |
2386
445.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
503
8.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1543
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3086
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2568
3.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
6124
7.24 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
58% |
1686
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
2503
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
4500
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3677
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1346
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
5813
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7551
9.71 IPS |
|
|
Style Transfer (HP)
|
100% |
5886
7.57 IPS |
|
|
Style Transfer (Q)
|
87% |
9616
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1183
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1883
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
531
708.9 IPS |
|
|
Text Classification (Q)
|
97% |
944
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (Q)
|
68% |
1524
29.4 IPS |
