System manufacturer System Product Name
Geekbench ML Score
1245
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | May 09 2024 03:44 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 23.10 |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X299-E GAMING |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7640X |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1044
195.4 IPS |
|
|
Image Classification (F16)
|
100% |
1046
195.7 IPS |
|
|
Image Classification (I8)
|
99% |
534
100.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1179
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1177
19.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
595
9.93 IPS |
|
|
Pose Estimation (F32)
|
100% |
1630
1.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
1630
1.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
1426
1.73 IPS |
|
|
Object Detection (F32)
|
100% |
1085
81.0 IPS |
|
|
Object Detection (F16)
|
100% |
1083
80.9 IPS |
|
|
Object Detection (I8)
|
65% |
635
47.4 IPS |
|
|
Face Detection (F32)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (I8)
|
87% |
1252
14.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1772
13.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1764
13.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
1434
11.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2301
3.03 IPS |
|
|
Style Transfer (F16)
|
100% |
2265
2.98 IPS |
|
|
Style Transfer (I8)
|
98% |
3027
3.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1038
37.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1040
37.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
874
31.2 IPS |
|
|
Text Classification (F32)
|
100% |
1350
1.94 KIPS |
|
|
Text Classification (F16)
|
100% |
1367
1.96 KIPS |
|
|
Text Classification (I8)
|
92% |
481
691.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1852
34.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1906
35.1 IPS |
|
|
Machine Translation (I8)
|
62% |
623
11.5 IPS |
