Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
19748
Single Precision Score
31592
Half Precision Score
13341
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 03:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. Z890 GAMING PLUS WIFI (MS-7E34) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10622
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
13131
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
8078
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16361
265.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20644
334.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12215
198.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
51739
60.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
238847
278.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
44245
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
13565
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
17140
1.36 KIPS |
|
|
Object Detection (Q)
|
87% |
10125
812.7 IPS |
|
|
Face Detection (SP)
|
100% |
30301
360.0 IPS |
|
|
Face Detection (HP)
|
100% |
41822
496.9 IPS |
|
|
Face Detection (Q)
|
97% |
20757
247.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
65434
504.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104608
805.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36780
294.8 IPS |
|
|
Style Transfer (SP)
|
100% |
195630
251.5 IPS |
|
|
Style Transfer (HP)
|
100% |
546300
702.3 IPS |
|
|
Style Transfer (Q)
|
98% |
130815
168.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30711
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54487
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16384
606.7 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2074
35.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1381
25.9 IPS |
