Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
3260
Single Precision Score
837
Half Precision Score
4072
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | luks_lp_22 |
| Upload Date | August 18 2024 06:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D48 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-E DDR4 (MS-7D48) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
99% |
3563
664.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2437
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6222
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3973
4.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
19697
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2202
174.7 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
88% |
2102
168.5 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
342
4.07 IPS |
|
|
Face Detection (Q)
|
97% |
4017
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6861
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.98 IPS |
|
|
Depth Estimation (Q)
|
76% |
8127
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14407
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9827
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
18866
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2779
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.8 IPS |
|
|
Text Classification (SP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
718
959.0 IPS |
|
|
Text Classification (Q)
|
97% |
590
790.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2200
49.1 IPS |
