ASRock X600M-STX
Geekbench AI Score
2344
Single Precision Score
2058
Half Precision Score
5277
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ihavnoth |
| Upload Date | November 09 2024 02:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock X600M-STX |
| Motherboard | ASRock X600M-STX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3266
607.3 IPS |
|
|
Image Classification (HP)
|
100% |
3055
568.1 IPS |
|
|
Image Classification (Q)
|
100% |
8743
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1849
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7443
120.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6211
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (Q)
|
98% |
8585
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
1205
95.6 IPS |
|
|
Object Detection (Q)
|
88% |
2071
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
4974
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3169
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3007
23.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
9094
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6138
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
6122
7.87 IPS |
|
|
Style Transfer (Q)
|
98% |
22623
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3047
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
1741
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2340
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2666
45.9 IPS |
