Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
40514
Single Precision Score
44574
Half Precision Score
31782
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 03:34 PM |
| Views | 17 |
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% |
15575
2.90 KIPS |
|
|
Image Classification (HP)
|
100% |
17773
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
12849
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24222
392.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21863
354.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22113
359.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
359059
419.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
528568
616.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
317280
371.8 IPS |
|
|
Object Detection (SP)
|
100% |
20512
1.63 KIPS |
|
|
Object Detection (HP)
|
99% |
19478
1.55 KIPS |
|
|
Object Detection (Q)
|
89% |
17866
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
48888
580.9 IPS |
|
|
Face Detection (HP)
|
100% |
54125
643.1 IPS |
|
|
Face Detection (Q)
|
97% |
42066
501.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
91852
707.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104710
806.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
81701
669.5 IPS |
|
|
Style Transfer (SP)
|
100% |
587652
755.4 IPS |
|
|
Style Transfer (HP)
|
100% |
818160
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
516184
665.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
66975
2.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75409
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54445
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
3032
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4681
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4689
80.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2230
49.8 IPS |
