QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
775
Single Precision Score
739
Half Precision Score
380
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
99% |
245
45.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
279
4.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
902
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
916
1.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
512
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.8 IPS |
|
|
Object Detection (Q)
|
85% |
241
19.4 IPS |
|
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
913
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
580
6.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
906
6.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
1051
8.10 IPS |
|
|
Depth Estimation (Q)
|
63% |
475
4.45 IPS |
|
|
Style Transfer (SP)
|
100% |
1556
2.00 IPS |
|
|
Style Transfer (HP)
|
100% |
1546
1.99 IPS |
|
|
Style Transfer (Q)
|
98% |
1249
1.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
681
909.6 IPS |
|
|
Text Classification (HP)
|
100% |
527
702.9 IPS |
|
|
Text Classification (Q)
|
92% |
261
350.9 IPS |
|
|
Machine Translation (SP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
58% |
266
6.25 IPS |
