QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
1559
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | November 07 2024 09:34 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 Xeon Gold 6434 |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 4.00 MB x 16 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 393.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1218
227.9 IPS |
|
|
Image Classification (F16)
|
100% |
1240
232.0 IPS |
|
|
Image Classification (I8)
|
99% |
1065
199.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2188
36.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2206
36.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1092
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2133
2.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
2124
2.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
3596
4.35 IPS |
|
|
Object Detection (F32)
|
100% |
1383
103.2 IPS |
|
|
Object Detection (F16)
|
100% |
1426
106.5 IPS |
|
|
Object Detection (I8)
|
65% |
1066
79.6 IPS |
|
|
Face Detection (F32)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (F16)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (I8)
|
87% |
2438
29.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1824
14.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1822
14.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2312
17.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2329
3.06 IPS |
|
|
Style Transfer (F16)
|
100% |
2386
3.14 IPS |
|
|
Style Transfer (I8)
|
98% |
5192
6.83 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1235
44.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1228
43.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1697
60.6 IPS |
|
|
Text Classification (F32)
|
100% |
751
1.08 KIPS |
|
|
Text Classification (F16)
|
100% |
728
1.05 KIPS |
|
|
Text Classification (I8)
|
92% |
494
709.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1451
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1388
25.5 IPS |
|
|
Machine Translation (I8)
|
62% |
628
11.6 IPS |
