Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
21948
Single Precision Score
40760
Half Precision Score
16792
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 12:17 PM |
| Views | 5 |
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-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9640
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
17380
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8697
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15123
245.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21383
346.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13948
226.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
112215
130.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
357686
417.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
103727
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
11418
905.7 IPS |
|
|
Object Detection (HP)
|
100% |
20718
1.64 KIPS |
|
|
Object Detection (Q)
|
83% |
9757
788.3 IPS |
|
|
Face Detection (SP)
|
100% |
27695
329.1 IPS |
|
|
Face Detection (HP)
|
100% |
44910
533.6 IPS |
|
|
Face Detection (Q)
|
97% |
24028
286.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
49960
384.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110777
853.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
39807
317.7 IPS |
|
|
Style Transfer (SP)
|
100% |
167384
215.2 IPS |
|
|
Style Transfer (HP)
|
100% |
574871
739.0 IPS |
|
|
Style Transfer (Q)
|
98% |
143236
184.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32344
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64377
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24818
919.0 IPS |
|
|
Text Classification (SP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4903
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2280
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5092
87.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1873
35.1 IPS |
