System manufacturer System Product Name
Geekbench ML Score
798
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 01 2024 08:28 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 20.04.6 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z270-A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700T |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
711
133.0 IPS |
|
|
Image Classification (F16)
|
100% |
713
133.3 IPS |
|
|
Image Classification (I8)
|
99% |
397
74.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
713
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
448
7.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
967
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
967
1.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
1032
1.25 IPS |
|
|
Object Detection (F32)
|
100% |
737
55.0 IPS |
|
|
Object Detection (F16)
|
100% |
734
54.8 IPS |
|
|
Object Detection (I8)
|
65% |
470
35.1 IPS |
|
|
Face Detection (F32)
|
100% |
958
11.4 IPS |
|
|
Face Detection (F16)
|
100% |
954
11.3 IPS |
|
|
Face Detection (I8)
|
87% |
929
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
949
7.36 IPS |
|
|
Depth Estimation (F16)
|
100% |
952
7.38 IPS |
|
|
Depth Estimation (I8)
|
95% |
1046
8.11 IPS |
|
|
Style Transfer (F32)
|
100% |
1134
1.49 IPS |
|
|
Style Transfer (F16)
|
100% |
1131
1.49 IPS |
|
|
Style Transfer (I8)
|
98% |
2053
2.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
656
23.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
658
23.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
650
23.2 IPS |
|
|
Text Classification (F32)
|
100% |
1019
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1038
1.49 KIPS |
|
|
Text Classification (I8)
|
92% |
355
510.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1004
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1007
18.5 IPS |
|
|
Machine Translation (I8)
|
62% |
454
8.36 IPS |
