Micro-Star International Co., Ltd. MS-7E01
Geekbench AI Score
17567
Single Precision Score
29556
Half Precision Score
13676
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 05:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E01 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760M MORTAR MAX WIFI (MS-7E01) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7339
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
12880
2.40 KIPS |
|
|
Image Classification (Q)
|
99% |
6562
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12511
202.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17435
282.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11304
183.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
82549
96.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
236236
275.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73076
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
8888
705.0 IPS |
|
|
Object Detection (HP)
|
100% |
14863
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
7571
610.6 IPS |
|
|
Face Detection (SP)
|
100% |
21310
253.2 IPS |
|
|
Face Detection (HP)
|
100% |
33233
394.9 IPS |
|
|
Face Detection (Q)
|
97% |
18713
223.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41535
320.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
81603
628.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34269
274.1 IPS |
|
|
Style Transfer (SP)
|
100% |
135096
173.7 IPS |
|
|
Style Transfer (HP)
|
100% |
345049
443.6 IPS |
|
|
Style Transfer (Q)
|
98% |
118623
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28339
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46100
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21183
784.4 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1869
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1853
34.8 IPS |
