Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
40955
Single Precision Score
44847
Half Precision Score
32214
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 08:51 AM |
| Views | 18 |
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% |
15496
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17684
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
12774
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24169
391.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21859
354.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22119
359.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
391121
456.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
546311
637.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
348206
408.0 IPS |
|
|
Object Detection (SP)
|
100% |
20345
1.61 KIPS |
|
|
Object Detection (HP)
|
99% |
19289
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
17806
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
48735
579.1 IPS |
|
|
Face Detection (HP)
|
100% |
53727
638.4 IPS |
|
|
Face Detection (Q)
|
97% |
42106
502.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
91765
707.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104477
804.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
81541
668.2 IPS |
|
|
Style Transfer (SP)
|
100% |
620794
798.0 IPS |
|
|
Style Transfer (HP)
|
100% |
857973
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
540286
696.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67940
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74638
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54692
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
5027
6.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
3058
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4699
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4716
81.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2215
49.4 IPS |
