Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
23095
Single Precision Score
42200
Half Precision Score
17983
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 03:40 PM |
| Views | 4 |
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 | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10221
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
18741
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
9371
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15145
245.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21372
346.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13974
227.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
124880
145.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
391600
456.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
116703
136.7 IPS |
|
|
Object Detection (SP)
|
100% |
12054
956.1 IPS |
|
|
Object Detection (HP)
|
100% |
21581
1.71 KIPS |
|
|
Object Detection (Q)
|
83% |
10321
833.9 IPS |
|
|
Face Detection (SP)
|
100% |
28992
344.5 IPS |
|
|
Face Detection (HP)
|
100% |
45043
535.2 IPS |
|
|
Face Detection (Q)
|
97% |
25436
303.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
56659
436.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
116800
899.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
45388
362.3 IPS |
|
|
Style Transfer (SP)
|
100% |
176779
227.3 IPS |
|
|
Style Transfer (HP)
|
100% |
605176
778.0 IPS |
|
|
Style Transfer (Q)
|
98% |
154306
199.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35057
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68178
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26448
979.3 IPS |
|
|
Text Classification (SP)
|
100% |
3866
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4764
6.36 KIPS |
|
|
Text Classification (Q)
|
97% |
2418
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4708
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1969
36.9 IPS |
