Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
4090
Single Precision Score
929
Half Precision Score
5170
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | August 29 2024 10:27 PM |
| Views | 3 |
| Notes | 5.2/4.1/4.6 @ 1.100v |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2452
456.0 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
4373
815.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
326
5.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
3095
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7806
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
4715
5.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
26401
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
88% |
2506
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (Q)
|
97% |
5103
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8892
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1052
8.10 IPS |
|
|
Depth Estimation (Q)
|
76% |
11210
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18628
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11668
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24950
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3574
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2391
88.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5565
206.1 IPS |
|
|
Text Classification (SP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
683
914.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2811
62.7 IPS |
