QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
32
Single Precision Score
32
Half Precision Score
24
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | dpedersen13 |
| Upload Date | May 01 2025 04:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Common KVM processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Common KVM processor |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 15 Model 6 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
20
3.65 IPS |
|
|
Image Classification (HP)
|
100% |
20
3.64 IPS |
|
|
Image Classification (Q)
|
97% |
16
2.89 IPS |
|
|
Image Segmentation (SP)
|
100% |
27
0.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
27
0.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
21
0.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
32
0.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
32
0.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
25
0.03 IPS |
|
|
Object Detection (SP)
|
100% |
18
1.41 IPS |
|
|
Object Detection (HP)
|
100% |
18
1.41 IPS |
|
|
Object Detection (Q)
|
87% |
14
1.13 IPS |
|
|
Face Detection (SP)
|
100% |
61
0.73 IPS |
|
|
Face Detection (HP)
|
100% |
62
0.73 IPS |
|
|
Face Detection (Q)
|
97% |
48
0.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
44
0.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
44
0.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
30
0.27 IPS |
|
|
Style Transfer (SP)
|
100% |
95
0.12 IPS |
|
|
Style Transfer (HP)
|
100% |
95
0.12 IPS |
|
|
Style Transfer (Q)
|
98% |
76
0.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20
0.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20
0.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
16
0.58 IPS |
|
|
Text Classification (SP)
|
100% |
21
28.0 IPS |
|
|
Text Classification (HP)
|
100% |
21
28.2 IPS |
|
|
Text Classification (Q)
|
91% |
16
21.5 IPS |
|
|
Machine Translation (SP)
|
100% |
43
0.74 IPS |
|
|
Machine Translation (HP)
|
100% |
43
0.74 IPS |
|
|
Machine Translation (Q)
|
58% |
22
0.53 IPS |
