Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
22856
Single Precision Score
42703
Half Precision Score
17527
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:52 AM |
| Views | 3 |
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-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK MAX WIFI (MS-7E25) |
| Power Plan | Nihai Performans |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9536
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
17434
3.24 KIPS |
|
|
Image Classification (Q)
|
100% |
8845
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17164
278.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25845
419.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15535
252.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
120508
140.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
384656
448.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
112001
131.2 IPS |
|
|
Object Detection (SP)
|
100% |
11461
909.1 IPS |
|
|
Object Detection (HP)
|
100% |
20599
1.63 KIPS |
|
|
Object Detection (Q)
|
83% |
9690
782.9 IPS |
|
|
Face Detection (SP)
|
100% |
28984
344.4 IPS |
|
|
Face Detection (HP)
|
100% |
48389
575.0 IPS |
|
|
Face Detection (Q)
|
97% |
25525
304.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53414
411.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112022
863.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
42477
339.0 IPS |
|
|
Style Transfer (SP)
|
100% |
170312
218.9 IPS |
|
|
Style Transfer (HP)
|
100% |
588208
756.1 IPS |
|
|
Style Transfer (Q)
|
98% |
147107
189.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33337
1.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64661
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24841
919.8 IPS |
|
|
Text Classification (SP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4796
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2334
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5065
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5713
98.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1984
37.2 IPS |
