Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6294
Single Precision Score
2250
Half Precision Score
8697
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 03:01 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. PRO B860M-A WIFI (MS-7E42) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4856
903.1 IPS |
|
|
Image Classification (HP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (Q)
|
99% |
9923
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2767
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4217
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12960
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
7761
9.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
41079
48.2 IPS |
|
|
Object Detection (SP)
|
100% |
4455
353.4 IPS |
|
|
Object Detection (HP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
86% |
9681
778.1 IPS |
|
|
Face Detection (SP)
|
100% |
12474
148.2 IPS |
|
|
Face Detection (HP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
12768
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14494
111.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2961
22.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22957
183.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28078
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18669
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29400
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4682
172.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3325
122.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6413
237.5 IPS |
|
|
Text Classification (SP)
|
100% |
1951
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
645
863.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2715
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4178
84.0 IPS |
