System76 Darter Pro
Geekbench ML Score
1139
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 24 2024 04:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | NixOS 24.05 (Uakari) |
| 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 | 15.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
918
171.7 IPS |
|
|
Image Classification (F16)
|
100% |
902
168.7 IPS |
|
|
Image Classification (I8)
|
99% |
398
74.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1196
20.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
559
9.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
1556
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
1543
1.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
1195
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
954
71.2 IPS |
|
|
Object Detection (F16)
|
100% |
1002
74.8 IPS |
|
|
Object Detection (I8)
|
65% |
575
42.9 IPS |
|
|
Face Detection (F32)
|
100% |
1813
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1812
21.5 IPS |
|
|
Face Detection (I8)
|
87% |
1228
14.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1686
13.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1695
13.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1231
9.54 IPS |
|
|
Style Transfer (F32)
|
100% |
2238
2.94 IPS |
|
|
Style Transfer (F16)
|
100% |
2230
2.93 IPS |
|
|
Style Transfer (I8)
|
98% |
2707
3.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1084
38.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1134
40.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
743
26.5 IPS |
|
|
Text Classification (F32)
|
100% |
1076
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1079
1.55 KIPS |
|
|
Text Classification (I8)
|
92% |
439
630.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1535
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1544
28.4 IPS |
|
|
Machine Translation (I8)
|
62% |
566
10.4 IPS |
