Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
36366
Single Precision Score
42394
Half Precision Score
28961
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 11 2025 10:49 PM |
| Views | 12 |
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-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16126
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
17468
3.25 KIPS |
|
|
Image Classification (Q)
|
99% |
14087
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21461
347.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19653
318.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20037
325.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
296560
346.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
512995
598.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
249389
292.1 IPS |
|
|
Object Detection (SP)
|
100% |
18803
1.49 KIPS |
|
|
Object Detection (HP)
|
99% |
19002
1.51 KIPS |
|
|
Object Detection (Q)
|
87% |
16132
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
46763
555.7 IPS |
|
|
Face Detection (HP)
|
100% |
51475
611.6 IPS |
|
|
Face Detection (Q)
|
97% |
41599
496.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
83112
640.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101015
778.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
62851
503.7 IPS |
|
|
Style Transfer (SP)
|
100% |
456688
587.1 IPS |
|
|
Style Transfer (HP)
|
100% |
697504
896.7 IPS |
|
|
Style Transfer (Q)
|
98% |
404570
521.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52146
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65160
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40592
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4633
6.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4726
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2941
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2895
54.3 IPS |
