Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41253
Single Precision Score
44947
Half Precision Score
32117
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:09 AM |
| Views | 11 |
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% |
15510
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17653
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
12649
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24107
390.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21795
353.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22100
359.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
402775
470.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
537981
627.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
340236
398.7 IPS |
|
|
Object Detection (SP)
|
100% |
20447
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19395
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17758
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48819
580.1 IPS |
|
|
Face Detection (HP)
|
100% |
53973
641.3 IPS |
|
|
Face Detection (Q)
|
97% |
42058
501.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
91831
707.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104471
804.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
81826
670.5 IPS |
|
|
Style Transfer (SP)
|
100% |
625431
804.0 IPS |
|
|
Style Transfer (HP)
|
100% |
881202
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
544508
702.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68002
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75604
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54245
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5210
6.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
3057
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4667
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2225
49.6 IPS |
