Micro-Star International Co., Ltd. MS-7E29
Geekbench AI Score
97
Single Precision Score
97
Half Precision Score
71
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| Upload Date | July 15 2025 09:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Micro-Star International Co., Ltd. MS-7E29 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-P DDR4 II (MS-7E29) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 91.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
97% |
43
8.10 IPS |
|
|
Image Segmentation (SP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
77
1.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
59
0.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
90
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
90
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
75
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
54
4.31 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.30 IPS |
|
|
Object Detection (Q)
|
87% |
43
3.42 IPS |
|
|
Face Detection (SP)
|
100% |
176
2.09 IPS |
|
|
Face Detection (HP)
|
100% |
178
2.12 IPS |
|
|
Face Detection (Q)
|
97% |
137
1.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
130
1.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
130
1.00 IPS |
|
|
Depth Estimation (Q)
|
64% |
87
0.80 IPS |
|
|
Style Transfer (SP)
|
100% |
273
0.35 IPS |
|
|
Style Transfer (HP)
|
100% |
273
0.35 IPS |
|
|
Style Transfer (Q)
|
98% |
227
0.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
47
1.73 IPS |
|
|
Text Classification (SP)
|
100% |
75
99.6 IPS |
|
|
Text Classification (HP)
|
100% |
74
98.9 IPS |
|
|
Text Classification (Q)
|
91% |
52
69.7 IPS |
|
|
Machine Translation (SP)
|
100% |
132
2.27 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.30 IPS |
|
|
Machine Translation (Q)
|
58% |
63
1.50 IPS |
