QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
15
Single Precision Score
15
Half Precision Score
11
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | December 13 2024 09:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | QEMU Virtual CPU version 2.5+ |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | QEMU Virtual CPU version 2.5+ |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 15 Model 107 Stepping 1 |
| Base Frequency | 2.53 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9
1.63 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.63 IPS |
|
|
Image Classification (Q)
|
97% |
7
1.27 IPS |
|
|
Image Segmentation (SP)
|
100% |
12
0.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
12
0.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
9
0.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
14
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
11
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
9
0.68 IPS |
|
|
Object Detection (HP)
|
100% |
9
0.68 IPS |
|
|
Object Detection (Q)
|
87% |
7
0.53 IPS |
|
|
Face Detection (SP)
|
100% |
29
0.34 IPS |
|
|
Face Detection (HP)
|
100% |
29
0.34 IPS |
|
|
Face Detection (Q)
|
97% |
22
0.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
21
0.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
21
0.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
13
0.12 IPS |
|
|
Style Transfer (SP)
|
100% |
44
0.06 IPS |
|
|
Style Transfer (HP)
|
100% |
44
0.06 IPS |
|
|
Style Transfer (Q)
|
98% |
34
0.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9
0.34 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7
0.26 IPS |
|
|
Text Classification (SP)
|
100% |
11
15.2 IPS |
|
|
Text Classification (HP)
|
100% |
11
15.3 IPS |
|
|
Text Classification (Q)
|
91% |
8
11.0 IPS |
|
|
Machine Translation (SP)
|
100% |
22
0.38 IPS |
|
|
Machine Translation (HP)
|
100% |
22
0.38 IPS |
|
|
Machine Translation (Q)
|
58% |
11
0.27 IPS |
