Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
2905
Single Precision Score
2918
Half Precision Score
4543
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | TTomi77123 |
| Upload Date | December 14 2024 07:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10600KF CPU @ 4.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.1 IPS |
|
|
Image Classification (HP)
|
100% |
1860
345.9 IPS |
|
|
Image Classification (Q)
|
100% |
2806
521.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4021
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4045
4.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
7791
9.14 IPS |
|
|
Object Detection (SP)
|
100% |
1676
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (Q)
|
87% |
2968
238.0 IPS |
|
|
Face Detection (SP)
|
100% |
3109
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
7892
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4946
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4908
37.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
8169
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11682
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11845
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22522
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4501
166.7 IPS |
|
|
Text Classification (SP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1823
2.43 KIPS |
|
|
Text Classification (Q)
|
91% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2446
42.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2397
41.3 IPS |
