Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41162
Single Precision Score
44864
Half Precision Score
32131
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 21 2024 01:16 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% |
15499
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17745
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
12775
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23724
384.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21465
348.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21782
354.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
402741
469.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
541640
632.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
349036
409.0 IPS |
|
|
Object Detection (SP)
|
100% |
20274
1.61 KIPS |
|
|
Object Detection (HP)
|
99% |
19335
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
17753
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48260
573.4 IPS |
|
|
Face Detection (HP)
|
100% |
53147
631.5 IPS |
|
|
Face Detection (Q)
|
97% |
41633
496.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92119
709.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104892
808.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
81578
668.5 IPS |
|
|
Style Transfer (SP)
|
100% |
635876
817.4 IPS |
|
|
Style Transfer (HP)
|
100% |
876545
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
550000
709.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68216
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76112
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55028
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
5197
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
3002
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4641
79.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2205
49.2 IPS |
