Micro-Star International Co., Ltd. MS-7D30
Geekbench AI Score
5492
Single Precision Score
5539
Half Precision Score
12623
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D30 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 FORCE WIFI (MS-7D30) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700F |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3773
701.6 IPS |
|
|
Image Classification (HP)
|
100% |
3760
699.2 IPS |
|
|
Image Classification (Q)
|
100% |
7793
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4283
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7431
120.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7529
8.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
7485
8.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
27287
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3596
285.3 IPS |
|
|
Object Detection (HP)
|
100% |
3584
284.3 IPS |
|
|
Object Detection (Q)
|
88% |
7947
637.1 IPS |
|
|
Face Detection (SP)
|
100% |
9921
117.9 IPS |
|
|
Face Detection (HP)
|
100% |
10014
119.0 IPS |
|
|
Face Detection (Q)
|
100% |
19940
236.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9528
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9691
74.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22676
176.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22316
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22711
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
76681
98.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4686
173.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14287
529.1 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
3922
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4213
72.6 IPS |
