QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
6632
Single Precision Score
1607
Half Precision Score
14222
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Wint3rmu7e |
| Upload Date | October 12 2025 12:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.29 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2687
499.8 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
97% |
13304
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3252
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
5654
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26599
31.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14450
16.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
78267
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
3447
273.4 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.3 IPS |
|
|
Object Detection (Q)
|
86% |
15511
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
4968
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
651
7.74 IPS |
|
|
Face Detection (Q)
|
97% |
26224
312.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14023
108.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
30741
245.3 IPS |
|
|
Style Transfer (SP)
|
100% |
46525
59.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36327
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
46069
59.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5589
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7961
294.8 IPS |
|
|
Text Classification (SP)
|
100% |
2690
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2246
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5584
112.2 IPS |
