Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
19712
Single Precision Score
36242
Half Precision Score
15037
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 11:41 AM |
| Views | 3 |
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% |
8404
1.56 KIPS |
|
|
Image Classification (HP)
|
100% |
15960
2.97 KIPS |
|
|
Image Classification (Q)
|
99% |
7399
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13395
217.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19496
316.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12246
199.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
94818
110.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
298209
348.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
80016
93.7 IPS |
|
|
Object Detection (SP)
|
100% |
10634
843.5 IPS |
|
|
Object Detection (HP)
|
100% |
17784
1.41 KIPS |
|
|
Object Detection (Q)
|
83% |
9053
731.4 IPS |
|
|
Face Detection (SP)
|
100% |
24968
296.7 IPS |
|
|
Face Detection (HP)
|
100% |
40916
486.2 IPS |
|
|
Face Detection (Q)
|
97% |
21850
260.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
48528
373.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100162
771.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39806
318.3 IPS |
|
|
Style Transfer (SP)
|
100% |
147355
189.4 IPS |
|
|
Style Transfer (HP)
|
100% |
520268
668.8 IPS |
|
|
Style Transfer (Q)
|
98% |
123942
159.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27931
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56074
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21263
787.3 IPS |
|
|
Text Classification (SP)
|
100% |
3609
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4391
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2183
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4336
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4514
77.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1800
33.8 IPS |
