Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41106
Single Precision Score
45257
Half Precision Score
32083
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 10:01 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Adamx's Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15559
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17735
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
12894
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24145
391.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21778
353.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22077
359.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
399225
465.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
558265
651.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
336800
394.6 IPS |
|
|
Object Detection (SP)
|
100% |
20466
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19403
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17731
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48786
579.7 IPS |
|
|
Face Detection (HP)
|
100% |
54113
643.0 IPS |
|
|
Face Detection (Q)
|
97% |
42115
502.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
92469
712.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104796
807.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
81752
669.9 IPS |
|
|
Style Transfer (SP)
|
100% |
624783
803.2 IPS |
|
|
Style Transfer (HP)
|
100% |
876279
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
543033
700.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67956
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75175
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54229
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5030
6.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4759
6.35 KIPS |
|
|
Text Classification (Q)
|
97% |
3003
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4658
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4847
83.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2233
49.8 IPS |
