QEMU Standard PC (Q35 + ICH9, 2009)
Geekbench ML Score
1569
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | November 07 2024 09:36 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% |
1237
231.5 IPS |
|
|
Image Classification (F16)
|
100% |
1220
228.3 IPS |
|
|
Image Classification (I8)
|
99% |
966
180.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2112
35.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2167
36.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1101
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2083
2.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
2085
2.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
3608
4.37 IPS |
|
|
Object Detection (F32)
|
100% |
1451
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
1459
108.9 IPS |
|
|
Object Detection (I8)
|
65% |
1304
97.3 IPS |
|
|
Face Detection (F32)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (F16)
|
100% |
2124
25.3 IPS |
|
|
Face Detection (I8)
|
87% |
2439
29.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1808
14.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1826
14.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2378
18.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2387
3.14 IPS |
|
|
Style Transfer (F16)
|
100% |
2387
3.14 IPS |
|
|
Style Transfer (I8)
|
98% |
5247
6.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1213
43.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1217
43.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1682
60.1 IPS |
|
|
Text Classification (F32)
|
100% |
701
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
719
1.03 KIPS |
|
|
Text Classification (I8)
|
92% |
503
723.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1413
26.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1579
29.1 IPS |
|
|
Machine Translation (I8)
|
62% |
652
12.0 IPS |
