Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
6256
Single Precision Score
6257
Half Precision Score
15545
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | all4rs |
| Upload Date | January 18 2025 02:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3811
708.7 IPS |
|
|
Image Classification (HP)
|
100% |
3810
708.6 IPS |
|
|
Image Classification (Q)
|
100% |
9486
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5098
82.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5115
82.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10456
169.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9316
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9433
11.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
34580
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3423
271.5 IPS |
|
|
Object Detection (HP)
|
100% |
3447
273.4 IPS |
|
|
Object Detection (Q)
|
88% |
10150
813.6 IPS |
|
|
Face Detection (SP)
|
100% |
11040
131.2 IPS |
|
|
Face Detection (HP)
|
100% |
11052
131.3 IPS |
|
|
Face Detection (Q)
|
100% |
25250
300.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10261
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10335
79.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
28836
224.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27738
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27618
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93953
121.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17395
644.2 IPS |
|
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2793
3.73 KIPS |
|
|
Text Classification (Q)
|
92% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3260
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3254
56.0 IPS |
