Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
21472
Single Precision Score
39830
Half Precision Score
16616
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:36 AM |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9262
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
17247
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
8357
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14366
232.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20576
333.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13228
215.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
109628
127.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
355194
414.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
103532
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
11081
879.0 IPS |
|
|
Object Detection (HP)
|
100% |
20328
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
9616
777.0 IPS |
|
|
Face Detection (SP)
|
100% |
27096
322.0 IPS |
|
|
Face Detection (HP)
|
100% |
42836
509.0 IPS |
|
|
Face Detection (Q)
|
97% |
23984
286.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
51659
398.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
108542
836.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
41685
332.7 IPS |
|
|
Style Transfer (SP)
|
100% |
164425
211.4 IPS |
|
|
Style Transfer (HP)
|
100% |
561619
722.0 IPS |
|
|
Style Transfer (Q)
|
98% |
143602
185.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32730
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64905
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23967
887.5 IPS |
|
|
Text Classification (SP)
|
100% |
3869
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4877
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2307
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4745
81.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1837
34.5 IPS |
