System manufacturer System Product Name
Geekbench ML Score
1583
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | April 03 2024 04:19 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. WS X299 SAGE |
| CPU Information | |
|---|---|
| Name | Intel Core i9-7920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 16.5 MB x 1 |
| Memory Information | |
|---|---|
| Size | 62.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1309
245.0 IPS |
|
|
Image Classification (F16)
|
100% |
1313
245.8 IPS |
|
|
Image Classification (I8)
|
99% |
712
133.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1888
31.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1895
31.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
687
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2431
2.94 IPS |
|
|
Pose Estimation (F16)
|
100% |
2413
2.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
2863
3.47 IPS |
|
|
Object Detection (F32)
|
100% |
1405
104.9 IPS |
|
|
Object Detection (F16)
|
100% |
1398
104.4 IPS |
|
|
Object Detection (I8)
|
65% |
858
64.1 IPS |
|
|
Face Detection (F32)
|
100% |
2549
30.3 IPS |
|
|
Face Detection (F16)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (I8)
|
87% |
1610
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2334
18.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2326
18.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
1920
14.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2863
3.77 IPS |
|
|
Style Transfer (F16)
|
100% |
2887
3.80 IPS |
|
|
Style Transfer (I8)
|
98% |
4700
6.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1550
55.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1543
55.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1290
46.1 IPS |
|
|
Text Classification (F32)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (I8)
|
92% |
423
608.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1910
35.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1921
35.4 IPS |
|
|
Machine Translation (I8)
|
62% |
499
9.18 IPS |
