QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
1131
Single Precision Score
1122
Half Precision Score
743
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | wallaceinmo |
| Upload Date | September 05 2024 12:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-9500T |
| System Information | |
|---|---|
| Operating System | Ubuntu 23.10 |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9500T |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 12.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
810
150.6 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.3 IPS |
|
|
Image Classification (Q)
|
99% |
470
87.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
984
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
524
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1461
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
1236
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
500
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
1232
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1303
10.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
1267
9.76 IPS |
|
|
Depth Estimation (Q)
|
74% |
1062
8.62 IPS |
|
|
Style Transfer (SP)
|
100% |
1767
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1775
2.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2638
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
749
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
371
497.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
58% |
352
8.27 IPS |
