Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41412
Single Precision Score
44735
Half Precision Score
32053
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 21 2024 01:31 AM |
| Views | 16 |
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% |
15453
2.87 KIPS |
|
|
Image Classification (HP)
|
100% |
17628
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
12772
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23572
382.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21381
346.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21544
350.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
403000
470.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
542535
633.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
345841
405.2 IPS |
|
|
Object Detection (SP)
|
100% |
20333
1.61 KIPS |
|
|
Object Detection (HP)
|
99% |
19253
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
17688
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48002
570.4 IPS |
|
|
Face Detection (HP)
|
100% |
53082
630.7 IPS |
|
|
Face Detection (Q)
|
97% |
41477
494.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
105580
813.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105103
809.8 IPS |
|
|
Depth Estimation (Q)
|
73% |
81817
670.4 IPS |
|
|
Style Transfer (SP)
|
100% |
620586
797.8 IPS |
|
|
Style Transfer (HP)
|
100% |
873661
1.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
548502
707.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68321
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75585
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54515
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5007
6.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
3054
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4620
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2195
49.0 IPS |
