QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
2225
Single Precision Score
2311
Half Precision Score
3443
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | rothomp3 |
| Upload Date | August 29 2025 04:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | @@ |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Pentium II/III |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (Q)
|
100% |
2293
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2890
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2947
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
5444
6.39 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (Q)
|
87% |
2314
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
2553
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
6323
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3147
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3215
24.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
5408
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8270
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8528
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
14771
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1676
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3122
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1637
2.18 KIPS |
|
|
Text Classification (Q)
|
91% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1878
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1920
33.1 IPS |
