Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3766
Single Precision Score
959
Half Precision Score
4652
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 07:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.61 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (Q)
|
99% |
4276
797.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2563
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7872
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4619
5.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
23521
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2275
180.5 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (Q)
|
88% |
2347
188.1 IPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.46 IPS |
|
|
Face Detection (Q)
|
97% |
4290
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8714
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1164
8.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
9657
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15912
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12293
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22087
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2864
105.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
869
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
580
776.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2919
65.1 IPS |
