Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
40606
Single Precision Score
44174
Half Precision Score
31617
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 03:23 PM |
| Views | 4 |
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% |
15477
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17682
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
12808
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23976
388.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21719
352.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22075
358.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
370647
432.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
502816
586.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
316920
371.3 IPS |
|
|
Object Detection (SP)
|
100% |
20461
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19354
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17700
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48638
577.9 IPS |
|
|
Face Detection (HP)
|
100% |
53676
637.8 IPS |
|
|
Face Detection (Q)
|
97% |
41963
500.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
91679
706.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103845
800.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
80896
662.9 IPS |
|
|
Style Transfer (SP)
|
100% |
593703
763.2 IPS |
|
|
Style Transfer (HP)
|
100% |
809738
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
514420
663.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67345
2.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74830
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54055
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
5191
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4765
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2992
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4680
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4705
81.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2229
49.7 IPS |
