Micro-Star International Co., Ltd. MS-7C79
Geekbench AI Score
4440
Single Precision Score
4525
Half Precision Score
6548
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 10:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10700KF CPU @ 3.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C79 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING EDGE WIFI (MS-7C79) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
427.8 IPS |
|
|
Image Classification (HP)
|
100% |
2339
434.9 IPS |
|
|
Image Classification (Q)
|
100% |
3634
675.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3968
64.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4895
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4861
5.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
9198
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
2291
181.8 IPS |
|
|
Object Detection (Q)
|
87% |
3816
306.1 IPS |
|
|
Face Detection (SP)
|
100% |
4324
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
5110
60.7 IPS |
|
|
Face Detection (Q)
|
97% |
13974
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8760
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8791
67.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
14357
113.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20496
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20747
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40353
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4157
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4184
154.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8176
302.9 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (Q)
|
91% |
1084
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4108
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3995
68.8 IPS |
