250828 MBG-Jones Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
32322
Single Precision Score
44459
Half Precision Score
28536
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gethen |
| Upload Date | August 28 2025 07:36 AM |
| Views | 9 |
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-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14126
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
16055
2.99 KIPS |
|
|
Image Classification (Q)
|
99% |
13449
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18224
295.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20885
338.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22753
370.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
202609
236.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
592122
690.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
185326
217.1 IPS |
|
|
Object Detection (SP)
|
100% |
14562
1.16 KIPS |
|
|
Object Detection (HP)
|
99% |
17805
1.41 KIPS |
|
|
Object Detection (Q)
|
87% |
13717
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
47927
569.5 IPS |
|
|
Face Detection (HP)
|
100% |
56724
674.0 IPS |
|
|
Face Detection (Q)
|
97% |
45691
544.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79931
615.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
117999
909.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
67712
542.6 IPS |
|
|
Style Transfer (SP)
|
100% |
371289
477.3 IPS |
|
|
Style Transfer (HP)
|
100% |
641561
824.7 IPS |
|
|
Style Transfer (Q)
|
98% |
344162
443.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45506
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71974
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38071
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4175
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4437
5.92 KIPS |
|
|
Text Classification (Q)
|
97% |
3048
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6064
104.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6225
107.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3726
69.9 IPS |
