Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
23052
Single Precision Score
42409
Half Precision Score
17806
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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) |
| 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% |
9057
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
16562
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
8473
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17797
288.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
26802
434.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16120
262.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
123374
144.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
394353
460.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
114242
133.8 IPS |
|
|
Object Detection (SP)
|
100% |
11334
899.0 IPS |
|
|
Object Detection (HP)
|
100% |
19908
1.58 KIPS |
|
|
Object Detection (Q)
|
83% |
9833
794.4 IPS |
|
|
Face Detection (SP)
|
100% |
30181
358.6 IPS |
|
|
Face Detection (HP)
|
100% |
49411
587.1 IPS |
|
|
Face Detection (Q)
|
97% |
26502
316.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54565
420.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113186
872.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
44675
356.6 IPS |
|
|
Style Transfer (SP)
|
100% |
173815
223.4 IPS |
|
|
Style Transfer (HP)
|
100% |
582382
748.7 IPS |
|
|
Style Transfer (Q)
|
98% |
149880
193.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33295
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62755
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25615
948.5 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4494
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2229
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5530
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5880
101.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2061
38.7 IPS |
