Micro-Star International Co., Ltd. MS-7E02
Geekbench AI Score
110
Single Precision Score
109
Half Precision Score
89
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | January 29 2025 12:34 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P (MS-7E02) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700F |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1851
344.2 IPS |
|
|
Image Classification (HP)
|
100% |
1833
340.9 IPS |
|
|
Image Classification (Q)
|
99% |
1085
202.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2847
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1301
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3510
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3553
4.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
4112
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
48
3.83 IPS |
|
|
Object Detection (HP)
|
100% |
18
1.39 IPS |
|
|
Object Detection (Q)
|
85% |
17
1.35 IPS |
|
|
Face Detection (SP)
|
100% |
66
0.79 IPS |
|
|
Face Detection (HP)
|
100% |
66
0.78 IPS |
|
|
Face Detection (Q)
|
97% |
64
0.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
61
0.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
55
0.42 IPS |
|
|
Depth Estimation (Q)
|
63% |
38
0.36 IPS |
|
|
Style Transfer (SP)
|
100% |
626
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
624
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
652
0.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29
1.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27
0.98 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
26
0.97 IPS |
|
|
Text Classification (SP)
|
100% |
1
1.82 IPS |
|
|
Text Classification (HP)
|
100% |
2
2.37 IPS |
|
|
Text Classification (Q)
|
92% |
2
2.71 IPS |
|
|
Machine Translation (SP)
|
100% |
4
0.07 IPS |
|
|
Machine Translation (HP)
|
100% |
6
0.10 IPS |
|
|
Machine Translation (Q)
|
58% |
4
0.10 IPS |
