Micro-Star International Co., Ltd. MS-7D48
Geekbench AI Score
2667
Single Precision Score
2839
Half Precision Score
1833
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | luks_lp_22 |
| Upload Date | August 18 2024 06:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 550X |
| 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% |
1056
196.3 IPS |
|
|
Image Classification (HP)
|
100% |
1223
227.4 IPS |
|
|
Image Classification (Q)
|
99% |
813
151.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
848
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12361
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
12834
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
10382
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.8 IPS |
|
|
Object Detection (HP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (Q)
|
89% |
952
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
2884
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
1909
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6557
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7255
55.9 IPS |
|
|
Depth Estimation (Q)
|
72% |
4474
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18842
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20258
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15525
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4215
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4481
165.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2712
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
683
911.1 IPS |
|
|
Text Classification (HP)
|
100% |
678
904.7 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1035
17.9 IPS |
|
|
Machine Translation (Q)
|
60% |
441
9.93 IPS |
