System76 Darter Pro
Geekbench ML Score
1154
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 05:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | TUXEDO OS 2 |
| Model | System76 Darter Pro |
| Motherboard | System76 Darter Pro |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 15.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
926
173.2 IPS |
|
|
Image Classification (F16)
|
100% |
925
173.2 IPS |
|
|
Image Classification (I8)
|
99% |
399
74.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1205
20.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1207
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
567
9.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
1562
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1564
1.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
1203
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
1018
76.0 IPS |
|
|
Object Detection (F16)
|
100% |
1010
75.4 IPS |
|
|
Object Detection (I8)
|
65% |
575
42.9 IPS |
|
|
Face Detection (F32)
|
100% |
1833
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1838
21.9 IPS |
|
|
Face Detection (I8)
|
87% |
1231
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1715
13.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
1719
13.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
1236
9.59 IPS |
|
|
Style Transfer (F32)
|
100% |
2267
2.98 IPS |
|
|
Style Transfer (F16)
|
100% |
2272
2.99 IPS |
|
|
Style Transfer (I8)
|
98% |
2718
3.58 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1132
40.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1150
41.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
745
26.6 IPS |
|
|
Text Classification (F32)
|
100% |
1074
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1082
1.56 KIPS |
|
|
Text Classification (I8)
|
92% |
437
628.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1601
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1580
29.1 IPS |
|
|
Machine Translation (I8)
|
62% |
576
10.6 IPS |
