Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
39951
Single Precision Score
43846
Half Precision Score
31101
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 03:04 PM |
| Views | 4 |
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% |
15329
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
17506
3.26 KIPS |
|
|
Image Classification (Q)
|
100% |
12641
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24042
389.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21675
351.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22000
357.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
362157
422.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
502754
586.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
314085
368.0 IPS |
|
|
Object Detection (SP)
|
100% |
20146
1.60 KIPS |
|
|
Object Detection (HP)
|
99% |
19239
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
17454
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
48345
574.4 IPS |
|
|
Face Detection (HP)
|
100% |
53229
632.5 IPS |
|
|
Face Detection (Q)
|
97% |
41659
496.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
90061
693.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102394
788.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
79391
650.6 IPS |
|
|
Style Transfer (SP)
|
100% |
587186
754.8 IPS |
|
|
Style Transfer (HP)
|
100% |
816160
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
516948
666.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65675
2.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73808
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49129
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
4952
6.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4675
6.24 KIPS |
|
|
Text Classification (Q)
|
97% |
3003
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4662
80.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2202
49.1 IPS |
