QEMU Standard PC (i440FX + PIIX, 1996)
Geekbench AI Score
92
Single Precision Score
90
Half Precision Score
62
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | October 14 2025 12:31 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | QEMU Virtual CPU version 2.5+ |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | QEMU Standard PC (i440FX + PIIX, 1996) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | QEMU Virtual CPU version 2.5+ |
| Topology | 2 Processors, 24 Cores |
| Identifier | GenuineIntel Family 15 Model 107 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
57
10.5 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.29 IPS |
|
|
Image Classification (Q)
|
97% |
35
6.51 IPS |
|
|
Image Segmentation (SP)
|
100% |
71
1.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
50
0.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
82
0.10 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.86 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.85 IPS |
|
|
Object Detection (Q)
|
87% |
36
2.90 IPS |
|
|
Face Detection (SP)
|
100% |
172
2.04 IPS |
|
|
Face Detection (HP)
|
100% |
169
2.01 IPS |
|
|
Face Detection (Q)
|
97% |
121
1.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
117
0.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
118
0.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
78
0.72 IPS |
|
|
Style Transfer (SP)
|
100% |
251
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
254
0.33 IPS |
|
|
Style Transfer (Q)
|
98% |
220
0.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65
2.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
43
1.59 IPS |
|
|
Text Classification (SP)
|
100% |
69
91.9 IPS |
|
|
Text Classification (HP)
|
100% |
64
84.9 IPS |
|
|
Text Classification (Q)
|
91% |
42
56.7 IPS |
|
|
Machine Translation (SP)
|
100% |
107
1.83 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (Q)
|
58% |
48
1.15 IPS |
