Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
21374
Single Precision Score
34114
Half Precision Score
16877
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mhted |
| Upload Date | December 13 2025 01:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P (MS-7E02) |
| 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% |
9142
1.70 KIPS |
|
|
Image Classification (HP)
|
99% |
13517
2.52 KIPS |
|
|
Image Classification (Q)
|
99% |
7737
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13923
225.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18146
294.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12675
206.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
112035
130.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
333684
389.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
101552
119.0 IPS |
|
|
Object Detection (SP)
|
100% |
9866
782.5 IPS |
|
|
Object Detection (HP)
|
100% |
15993
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
9236
743.5 IPS |
|
|
Face Detection (SP)
|
100% |
26898
319.6 IPS |
|
|
Face Detection (HP)
|
100% |
40176
477.4 IPS |
|
|
Face Detection (Q)
|
97% |
23850
284.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
55876
430.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99824
769.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
44387
355.4 IPS |
|
|
Style Transfer (SP)
|
100% |
205636
264.3 IPS |
|
|
Style Transfer (HP)
|
100% |
469729
603.8 IPS |
|
|
Style Transfer (Q)
|
98% |
183474
236.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34178
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50709
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25660
950.2 IPS |
|
|
Text Classification (SP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2076
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4024
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1971
37.0 IPS |
