QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench AI Score
1070
Single Precision Score
1085
Half Precision Score
728
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | September 06 2025 04:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 4 Processors, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
641
119.2 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.3 IPS |
|
|
Image Classification (Q)
|
99% |
395
73.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
523
8.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1176
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1182
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (HP)
|
100% |
806
63.9 IPS |
|
|
Object Detection (Q)
|
85% |
530
42.6 IPS |
|
|
Face Detection (SP)
|
100% |
1435
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1429
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1159
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1304
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
10.00 IPS |
|
|
Depth Estimation (Q)
|
63% |
994
9.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1736
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1743
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2485
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
817
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
838
31.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
711
26.4 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
429
575.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1334
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
58% |
374
8.78 IPS |
