QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
3448
Single Precision Score
3443
Half Precision Score
6059
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | timk |
| Upload Date | November 01 2024 11:13 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 5650G with Radeon Graphics |
| 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% |
2262
420.7 IPS |
|
|
Image Classification (HP)
|
100% |
2232
415.1 IPS |
|
|
Image Classification (Q)
|
100% |
4167
774.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3390
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4479
5.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
10365
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
2060
163.4 IPS |
|
|
Object Detection (HP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (Q)
|
87% |
4213
337.9 IPS |
|
|
Face Detection (SP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
4167
49.5 IPS |
|
|
Face Detection (Q)
|
97% |
10784
128.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5798
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5844
45.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
9171
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13149
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13179
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29442
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2623
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2650
97.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6176
228.8 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (Q)
|
91% |
2016
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2984
51.4 IPS |
