Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
4998
Single Precision Score
4678
Half Precision Score
13414
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Estudio-Iron |
| Upload Date | August 18 2024 06:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700KF |
| 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 | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3817
709.9 IPS |
|
|
Image Classification (HP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (Q)
|
100% |
8169
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7359
119.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7852
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
7881
9.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
28905
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3641
288.8 IPS |
|
|
Object Detection (HP)
|
100% |
3643
289.0 IPS |
|
|
Object Detection (Q)
|
88% |
8511
682.3 IPS |
|
|
Face Detection (SP)
|
100% |
9240
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
9445
112.2 IPS |
|
|
Face Detection (Q)
|
100% |
20950
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9917
76.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
9969
76.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
23731
188.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23423
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23176
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
78381
101.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2696
99.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14575
539.8 IPS |
|
|
Text Classification (SP)
|
100% |
1419
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1517
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4284
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4388
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (Q)
|
85% |
5245
91.8 IPS |
