Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
3309
Single Precision Score
3367
Half Precision Score
2186
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | s-goude-surgar |
| Upload Date | October 20 2025 10:07 AM |
| Views | 11 |
| Notes | banff_avx2 |
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% |
2837
527.6 IPS |
|
|
Image Classification (HP)
|
100% |
2893
538.1 IPS |
|
|
Image Classification (Q)
|
99% |
1773
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4036
65.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1534
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4179
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4221
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
5725
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (Q)
|
85% |
1647
132.5 IPS |
|
|
Face Detection (SP)
|
100% |
4814
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (Q)
|
97% |
3649
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3932
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3947
30.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3007
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4413
5.67 IPS |
|
|
Style Transfer (HP)
|
100% |
4451
5.72 IPS |
|
|
Style Transfer (Q)
|
98% |
8882
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2371
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2396
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2024
75.0 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1871
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
628
843.9 IPS |
|
|
Machine Translation (SP)
|
100% |
4044
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4032
69.5 IPS |
|
|
Machine Translation (Q)
|
58% |
785
18.4 IPS |
