Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6907
Single Precision Score
2428
Half Precision Score
10301
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | GERRARD__8 |
| Upload Date | June 17 2025 02:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. B860M GAMING PLUS WIFI (MS-7E42) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
5502
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
832
154.8 IPS |
|
|
Image Classification (Q)
|
99% |
10356
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4448
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14638
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8190
9.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
47565
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
5140
407.7 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.2 IPS |
|
|
Object Detection (Q)
|
86% |
12133
975.1 IPS |
|
|
Face Detection (SP)
|
100% |
13360
158.7 IPS |
|
|
Face Detection (HP)
|
100% |
2477
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
13896
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15898
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3436
26.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
23442
187.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32630
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21236
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27372
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5279
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6822
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1017
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1897
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4386
88.1 IPS |
