QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
771
Single Precision Score
788
Half Precision Score
558
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 22 2025 07:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC Processor (with IBPB) |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD EPYC Processor (with IBPB) |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 2 |
| Base Frequency | 2.79 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
71.9 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
99% |
264
49.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
464
7.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
1333
1.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1308
1.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
1329
1.56 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (Q)
|
85% |
318
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
958
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
879
10.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
956
7.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.12 IPS |
|
|
Depth Estimation (Q)
|
63% |
714
6.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1804
2.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1760
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
2478
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
538
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
577
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
457
610.5 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.5 IPS |
|
|
Text Classification (Q)
|
92% |
270
363.0 IPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (Q)
|
58% |
236
5.55 IPS |
