Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
120
Single Precision Score
92
Half Precision Score
79
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| User | s-goude-surgar |
| Upload Date | October 20 2025 09:27 AM |
| Views | 7 |
| Notes | banff_x86_64 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
64
12.0 IPS |
|
|
Image Classification (HP)
|
100% |
48
8.89 IPS |
|
|
Image Classification (Q)
|
97% |
43
7.99 IPS |
|
|
Image Segmentation (SP)
|
100% |
123
1.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
66
1.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
50
0.82 IPS |
|
|
Pose Estimation (SP)
|
100% |
117
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
118
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
128
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
58
4.62 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.56 IPS |
|
|
Object Detection (Q)
|
87% |
47
3.76 IPS |
|
|
Face Detection (SP)
|
100% |
237
2.82 IPS |
|
|
Face Detection (HP)
|
100% |
191
2.26 IPS |
|
|
Face Detection (Q)
|
97% |
130
1.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
152
1.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
150
1.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
95
0.88 IPS |
|
|
Style Transfer (SP)
|
100% |
363
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
361
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
346
0.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69
2.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
68
2.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
72
2.67 IPS |
|
|
Text Classification (SP)
|
100% |
170
226.9 IPS |
|
|
Text Classification (HP)
|
100% |
32
43.3 IPS |
|
|
Text Classification (Q)
|
91% |
25
33.1 IPS |
|
|
Machine Translation (SP)
|
100% |
82
1.42 IPS |
|
|
Machine Translation (HP)
|
100% |
92
1.58 IPS |
|
|
Machine Translation (Q)
|
58% |
100
2.39 IPS |
