NETTOP AMD GenMachine Default string Default string
Geekbench AI Score
2379
Single Precision Score
1116
Half Precision Score
2865
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | March 09 2025 09:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800U |
| 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% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
96% |
3565
665.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1632
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4214
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3285
3.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
8620
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1988
157.7 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
58% |
1807
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
5380
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5706
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1744
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7851
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9459
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7459
9.59 IPS |
|
|
Style Transfer (Q)
|
87% |
11323
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1598
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1855
68.8 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
593
791.8 IPS |
|
|
Text Classification (Q)
|
97% |
335
449.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
68% |
1384
26.7 IPS |
