QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
419
Single Precision Score
435
Half Precision Score
357
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | aaronoaks |
| Upload Date | May 28 2025 01:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2660 v3 |
| System Information | |
|---|---|
| Operating System | Bazzite 42 (FROM Fedora Kinoite) |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2660 v3 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 9.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
99% |
186
34.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
504
8.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
1055
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1068
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
1399
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
242
19.2 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
85% |
247
19.9 IPS |
|
|
Face Detection (SP)
|
100% |
537
6.38 IPS |
|
|
Face Detection (HP)
|
100% |
482
5.73 IPS |
|
|
Face Detection (Q)
|
97% |
532
6.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
595
4.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
584
4.50 IPS |
|
|
Depth Estimation (Q)
|
63% |
544
5.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1253
1.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1252
1.61 IPS |
|
|
Style Transfer (Q)
|
98% |
2456
3.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
326
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
149
198.7 IPS |
|
|
Text Classification (HP)
|
100% |
269
358.4 IPS |
|
|
Text Classification (Q)
|
92% |
61
81.4 IPS |
|
|
Machine Translation (SP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
58% |
101
2.38 IPS |
