Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41127
Single Precision Score
44938
Half Precision Score
31931
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 08:15 AM |
| Views | 14 |
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% |
15508
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17667
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
12762
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24075
390.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21680
351.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21994
357.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
396449
462.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
540993
631.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
331617
388.6 IPS |
|
|
Object Detection (SP)
|
100% |
20370
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19378
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17685
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48488
576.1 IPS |
|
|
Face Detection (HP)
|
100% |
53562
636.4 IPS |
|
|
Face Detection (Q)
|
97% |
41957
500.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
91677
706.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103703
799.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
81089
664.5 IPS |
|
|
Style Transfer (SP)
|
100% |
633824
814.8 IPS |
|
|
Style Transfer (HP)
|
100% |
874505
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
539839
696.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67867
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74704
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53962
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
5128
6.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4753
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
3047
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4850
83.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2217
49.4 IPS |
