Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
3412
Single Precision Score
3251
Half Precision Score
2206
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | s-goude-surgar |
| Upload Date | October 20 2025 10:03 AM |
| Views | 6 |
| Notes | banff |
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% |
2899
539.1 IPS |
|
|
Image Classification (HP)
|
100% |
2427
451.3 IPS |
|
|
Image Classification (Q)
|
99% |
1421
265.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4090
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4114
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4111
4.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
5719
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (Q)
|
85% |
1648
132.7 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (Q)
|
97% |
3696
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3951
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3959
30.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3005
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4390
5.64 IPS |
|
|
Style Transfer (HP)
|
100% |
4436
5.70 IPS |
|
|
Style Transfer (Q)
|
98% |
8924
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3057
112.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2464
91.3 IPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
620
833.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4094
70.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (Q)
|
58% |
796
18.7 IPS |
