System76 Darter Pro
Geekbench ML Score
1133
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 17 2024 03:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| 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 | 2.80 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% |
924
172.9 IPS |
|
|
Image Classification (F16)
|
100% |
907
169.7 IPS |
|
|
Image Classification (I8)
|
99% |
398
74.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1194
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1198
20.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
556
9.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
1560
1.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1552
1.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
1196
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
1005
75.0 IPS |
|
|
Object Detection (F16)
|
100% |
1007
75.2 IPS |
|
|
Object Detection (I8)
|
65% |
574
42.9 IPS |
|
|
Face Detection (F32)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (F16)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (I8)
|
87% |
1115
13.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1696
13.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1687
13.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1209
9.37 IPS |
|
|
Style Transfer (F32)
|
100% |
2244
2.95 IPS |
|
|
Style Transfer (F16)
|
100% |
2239
2.94 IPS |
|
|
Style Transfer (I8)
|
98% |
2689
3.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1121
40.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1121
40.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
744
26.6 IPS |
|
|
Text Classification (F32)
|
100% |
1086
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1080
1.55 KIPS |
|
|
Text Classification (I8)
|
92% |
438
630.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1584
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1597
29.4 IPS |
|
|
Machine Translation (I8)
|
62% |
562
10.3 IPS |
