Generic
Geekbench AI Score
2970
Single Precision Score
4297
Half Precision Score
2124
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kinski |
| Upload Date | August 20 2024 02:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X300M-STX |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 4750G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1058
196.7 IPS |
|
|
Image Classification (HP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (Q)
|
99% |
897
167.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1133
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13675
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24698
28.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
10580
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (Q)
|
89% |
1004
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3681
43.7 IPS |
|
|
Face Detection (Q)
|
97% |
1836
21.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6891
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10565
81.4 IPS |
|
|
Depth Estimation (Q)
|
72% |
4951
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23332
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38626
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17207
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4346
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6971
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2834
105.0 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1100
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
695
930.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (Q)
|
60% |
563
12.7 IPS |
