Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41246
Single Precision Score
45197
Half Precision Score
32066
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:59 AM |
| Views | 3 |
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% |
15564
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17769
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
12868
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24217
392.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21889
354.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22234
361.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
404283
471.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
552037
644.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
351865
412.3 IPS |
|
|
Object Detection (SP)
|
100% |
20409
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19525
1.55 KIPS |
|
|
Object Detection (Q)
|
89% |
17774
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48876
580.8 IPS |
|
|
Face Detection (HP)
|
100% |
53998
641.6 IPS |
|
|
Face Detection (Q)
|
97% |
42153
502.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
92344
711.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104541
805.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
81842
670.6 IPS |
|
|
Style Transfer (SP)
|
100% |
620477
797.6 IPS |
|
|
Style Transfer (HP)
|
100% |
888327
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
545378
703.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67926
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75835
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50439
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
5177
6.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4768
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
3042
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4654
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2225
49.6 IPS |
