QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
1159
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | July 18 2024 09:49 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | QEMU Standard PC (Q35 + ICH9, 2009) |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 4.00 MB x 4 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 19.06 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
817
152.9 IPS |
|
|
Image Classification (F16)
|
100% |
835
156.3 IPS |
|
|
Image Classification (I8)
|
99% |
465
87.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1188
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1175
19.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
619
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1375
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
1375
1.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
1408
1.71 IPS |
|
|
Object Detection (F32)
|
100% |
1013
75.6 IPS |
|
|
Object Detection (F16)
|
100% |
1084
80.9 IPS |
|
|
Object Detection (I8)
|
65% |
668
49.9 IPS |
|
|
Face Detection (F32)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (F16)
|
100% |
1710
20.3 IPS |
|
|
Face Detection (I8)
|
87% |
1384
16.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1576
12.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1587
12.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
1442
11.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1807
2.38 IPS |
|
|
Style Transfer (F16)
|
100% |
1811
2.38 IPS |
|
|
Style Transfer (I8)
|
98% |
2881
3.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1097
39.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1075
38.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
868
31.0 IPS |
|
|
Text Classification (F32)
|
100% |
1237
1.78 KIPS |
|
|
Text Classification (F16)
|
100% |
1300
1.87 KIPS |
|
|
Text Classification (I8)
|
92% |
470
675.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1580
29.1 IPS |
|
|
Machine Translation (I8)
|
62% |
607
11.2 IPS |
