Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
19412
Single Precision Score
35587
Half Precision Score
14987
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 07:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8350
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
15697
2.92 KIPS |
|
|
Image Classification (Q)
|
99% |
7437
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12772
207.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17674
286.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11604
188.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
95736
111.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
305294
356.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
80097
93.8 IPS |
|
|
Object Detection (SP)
|
100% |
10565
838.0 IPS |
|
|
Object Detection (HP)
|
100% |
17590
1.40 KIPS |
|
|
Object Detection (Q)
|
83% |
9074
733.1 IPS |
|
|
Face Detection (SP)
|
100% |
23668
281.2 IPS |
|
|
Face Detection (HP)
|
100% |
39596
470.5 IPS |
|
|
Face Detection (Q)
|
97% |
21752
259.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48083
370.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103663
798.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
38260
305.9 IPS |
|
|
Style Transfer (SP)
|
100% |
151830
195.2 IPS |
|
|
Style Transfer (HP)
|
100% |
521383
670.2 IPS |
|
|
Style Transfer (Q)
|
98% |
126011
162.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28257
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55110
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21790
806.8 IPS |
|
|
Text Classification (SP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4472
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2195
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4003
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4146
71.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1818
34.1 IPS |
