Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41044
Single Precision Score
45165
Half Precision Score
32242
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:27 AM |
| Views | 13 |
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% |
15533
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17747
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
12715
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24083
390.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21813
353.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22157
360.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
400803
467.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
555194
647.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
348238
408.0 IPS |
|
|
Object Detection (SP)
|
100% |
20350
1.61 KIPS |
|
|
Object Detection (HP)
|
99% |
19413
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17709
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48842
580.3 IPS |
|
|
Face Detection (HP)
|
100% |
53753
638.7 IPS |
|
|
Face Detection (Q)
|
97% |
42137
502.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92117
709.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105099
809.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
81758
670.0 IPS |
|
|
Style Transfer (SP)
|
100% |
624838
803.2 IPS |
|
|
Style Transfer (HP)
|
100% |
866933
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
548084
706.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67327
2.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74965
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54520
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5043
6.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
3055
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4659
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2222
49.6 IPS |
