Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
20155
Single Precision Score
37491
Half Precision Score
15432
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 12:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8341
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
15959
2.97 KIPS |
|
|
Image Classification (Q)
|
99% |
7449
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13827
224.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20752
336.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12667
206.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
99430
116.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
313096
365.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
82846
97.0 IPS |
|
|
Object Detection (SP)
|
100% |
10856
861.1 IPS |
|
|
Object Detection (HP)
|
100% |
18297
1.45 KIPS |
|
|
Object Detection (Q)
|
83% |
9287
750.4 IPS |
|
|
Face Detection (SP)
|
100% |
25318
300.8 IPS |
|
|
Face Detection (HP)
|
100% |
42719
507.6 IPS |
|
|
Face Detection (Q)
|
97% |
22427
267.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48409
373.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103890
800.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38831
310.5 IPS |
|
|
Style Transfer (SP)
|
100% |
152165
195.6 IPS |
|
|
Style Transfer (HP)
|
100% |
534444
687.0 IPS |
|
|
Style Transfer (Q)
|
98% |
129422
166.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28697
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57486
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22118
819.0 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4461
5.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2265
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4630
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4754
81.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1869
35.1 IPS |
