QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
1248
Single Precision Score
1237
Half Precision Score
1960
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
680
126.4 IPS |
|
|
Image Classification (Q)
|
100% |
1165
216.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
789
12.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1179
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1331
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1344
1.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
2624
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (HP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (Q)
|
87% |
1191
95.5 IPS |
|
|
Face Detection (SP)
|
100% |
2089
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
3282
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1774
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1779
13.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
3107
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3888
5.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3901
5.01 IPS |
|
|
Style Transfer (Q)
|
98% |
7424
9.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1562
57.8 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (Q)
|
91% |
983
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1677
28.9 IPS |
