Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41204
Single Precision Score
44901
Half Precision Score
32212
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 21 2024 01:28 AM |
| Views | 10 |
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, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15348
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
17577
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
12708
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23800
385.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21424
347.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21720
353.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
403505
470.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
536973
626.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
351400
411.7 IPS |
|
|
Object Detection (SP)
|
100% |
20400
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19357
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17735
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48373
574.8 IPS |
|
|
Face Detection (HP)
|
100% |
53186
632.0 IPS |
|
|
Face Detection (Q)
|
97% |
41683
497.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
92204
710.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104823
807.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
81801
670.3 IPS |
|
|
Style Transfer (SP)
|
100% |
640805
823.8 IPS |
|
|
Style Transfer (HP)
|
100% |
882302
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
559157
721.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68165
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75613
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54971
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
5196
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4768
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
3003
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4635
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4799
82.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2222
49.6 IPS |
