NETTOP AMD GenMachine Default string Default string
Geekbench AI Score
3099
Single Precision Score
4183
Half Precision Score
2353
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | March 09 2025 10:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
1708
317.6 IPS |
|
|
Image Classification (Q)
|
100% |
1187
220.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1197
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11194
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19757
23.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9394
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (Q)
|
88% |
1224
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
2794
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
3924
46.6 IPS |
|
|
Face Detection (Q)
|
97% |
2374
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7016
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10473
80.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5571
44.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19977
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31911
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15976
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4262
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6375
235.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3035
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
711
952.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1526
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (Q)
|
70% |
700
13.1 IPS |
