Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
34474
Single Precision Score
45953
Half Precision Score
29808
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E39 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860 TOMAHAWK WIFI (MS-7E39) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15415
2.87 KIPS |
|
|
Image Classification (HP)
|
100% |
16440
3.06 KIPS |
|
|
Image Classification (Q)
|
99% |
14018
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19028
308.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22247
360.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24188
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
218855
255.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
656263
765.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
199455
233.6 IPS |
|
|
Object Detection (SP)
|
100% |
17002
1.35 KIPS |
|
|
Object Detection (HP)
|
99% |
19792
1.57 KIPS |
|
|
Object Detection (Q)
|
87% |
15812
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
54394
646.3 IPS |
|
|
Face Detection (HP)
|
100% |
58505
695.2 IPS |
|
|
Face Detection (Q)
|
97% |
48315
576.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
86109
663.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
120408
927.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
72530
581.2 IPS |
|
|
Style Transfer (SP)
|
100% |
402196
517.0 IPS |
|
|
Style Transfer (HP)
|
100% |
704587
905.8 IPS |
|
|
Style Transfer (Q)
|
98% |
368571
475.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49485
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74730
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42011
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3774
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2527
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6175
106.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6247
107.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3777
70.8 IPS |
