Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
22876
Single Precision Score
41652
Half Precision Score
17495
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 11:09 AM |
| Views | 4 |
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. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9316
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
15637
2.91 KIPS |
|
|
Image Classification (Q)
|
100% |
8548
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16829
272.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24835
402.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15548
252.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
124274
145.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
392734
458.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
110394
129.3 IPS |
|
|
Object Detection (SP)
|
100% |
11305
896.8 IPS |
|
|
Object Detection (HP)
|
100% |
19994
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
9823
793.7 IPS |
|
|
Face Detection (SP)
|
100% |
29317
348.3 IPS |
|
|
Face Detection (HP)
|
100% |
47408
563.3 IPS |
|
|
Face Detection (Q)
|
97% |
25495
304.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54370
418.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
115322
888.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
43977
351.0 IPS |
|
|
Style Transfer (SP)
|
100% |
172698
222.0 IPS |
|
|
Style Transfer (HP)
|
100% |
594465
764.2 IPS |
|
|
Style Transfer (Q)
|
98% |
150739
194.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33988
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63957
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25421
941.3 IPS |
|
|
Text Classification (SP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
4501
6.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2197
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5201
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5509
94.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1975
37.1 IPS |
