Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
3255
Single Precision Score
3258
Half Precision Score
2188
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | shared |
| Upload Date | March 06 2025 07:15 PM |
| Views | 2 |
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 | 62.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.5 IPS |
|
|
Image Classification (Q)
|
99% |
1389
259.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3943
63.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3922
63.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1683
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4193
4.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
5674
6.65 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
2494
197.9 IPS |
|
|
Object Detection (Q)
|
85% |
1957
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (Q)
|
97% |
3582
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3965
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3948
30.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2968
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4590
5.90 IPS |
|
|
Style Transfer (HP)
|
100% |
4584
5.89 IPS |
|
|
Style Transfer (Q)
|
98% |
9002
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2998
110.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2063
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
621
834.6 IPS |
|
|
Machine Translation (SP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (Q)
|
58% |
793
18.6 IPS |
