QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2469
Single Precision Score
776
Half Precision Score
3058
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | timk |
| Upload Date | November 01 2024 11:26 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 5650G |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 5650G |
| Topology | 6 Processors, 6 Cores |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.89 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 47.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1710
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (Q)
|
93% |
2724
509.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
2019
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4702
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3672
4.28 IPS |
|
|
Pose Estimation (Q)
|
87% |
9318
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1750
138.8 IPS |
|
|
Object Detection (HP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (Q)
|
86% |
1636
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
1869
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (Q)
|
96% |
3225
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5125
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1067
8.22 IPS |
|
|
Depth Estimation (Q)
|
77% |
4448
35.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10849
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9373
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
10501
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2512
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
593
791.0 IPS |
|
|
Text Classification (Q)
|
97% |
1495
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
60% |
1508
33.6 IPS |
