Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
40591
Single Precision Score
44388
Half Precision Score
31412
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 03:30 PM |
| Views | 3 |
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% |
15549
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17723
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
12771
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24118
391.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21788
353.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22017
358.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
371223
433.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
506696
591.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
319576
374.4 IPS |
|
|
Object Detection (SP)
|
100% |
20485
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19451
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17770
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48786
579.7 IPS |
|
|
Face Detection (HP)
|
100% |
53897
640.4 IPS |
|
|
Face Detection (Q)
|
97% |
42026
501.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
92150
710.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103817
799.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
81281
666.1 IPS |
|
|
Style Transfer (SP)
|
100% |
586226
753.6 IPS |
|
|
Style Transfer (HP)
|
100% |
813914
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
517552
667.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67015
2.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74332
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50098
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2970
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4823
83.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2227
49.7 IPS |
