QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
1014
Single Precision Score
398
Half Precision Score
1590
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC-Milan Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD EPYC-Milan Processor |
| Topology | 2 Processors, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
94% |
1181
220.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
183
2.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
881
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1304
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1089
1.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
2530
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
58% |
863
94.3 IPS |
|
|
Face Detection (SP)
|
100% |
1527
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (Q)
|
96% |
2773
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1627
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
593
4.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
2626
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3398
4.37 IPS |
|
|
Style Transfer (HP)
|
100% |
2774
3.57 IPS |
|
|
Style Transfer (Q)
|
87% |
5031
6.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1144
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (Q)
|
97% |
696
932.6 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
68% |
1566
30.2 IPS |
