Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6794
Single Precision Score
2491
Half Precision Score
11475
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 03:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265F |
| 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 265F |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5469
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
896
166.6 IPS |
|
|
Image Classification (Q)
|
99% |
9495
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2614
42.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16062
261.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14114
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8440
9.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
45846
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
5256
416.9 IPS |
|
|
Object Detection (HP)
|
100% |
1086
86.2 IPS |
|
|
Object Detection (Q)
|
86% |
11452
920.4 IPS |
|
|
Face Detection (SP)
|
100% |
14351
170.5 IPS |
|
|
Face Detection (HP)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (Q)
|
97% |
13423
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15863
122.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3252
25.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24112
192.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30311
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17256
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29424
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4910
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3708
136.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6732
249.3 IPS |
|
|
Text Classification (SP)
|
100% |
1962
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2974
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4508
90.6 IPS |
