Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41338
Single Precision Score
45048
Half Precision Score
32252
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:48 AM |
| Views | 20 |
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% |
15528
2.89 KIPS |
|
|
Image Classification (HP)
|
100% |
17781
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
12857
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24157
391.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21830
353.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22116
359.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
405046
472.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
538685
628.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
351835
412.2 IPS |
|
|
Object Detection (SP)
|
100% |
20436
1.62 KIPS |
|
|
Object Detection (HP)
|
99% |
19400
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17773
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48985
582.0 IPS |
|
|
Face Detection (HP)
|
100% |
54096
642.8 IPS |
|
|
Face Detection (Q)
|
97% |
42219
503.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92178
710.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105601
813.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
82004
672.0 IPS |
|
|
Style Transfer (SP)
|
100% |
627363
806.5 IPS |
|
|
Style Transfer (HP)
|
100% |
863536
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
542562
699.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67889
2.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75911
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54311
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
3008
4.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4724
81.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2232
49.8 IPS |
