System76 Darter Pro
Geekbench ML Score
940
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 08:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Deepin 23 |
| 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% |
761
142.4 IPS |
|
|
Image Classification (F16)
|
100% |
761
142.4 IPS |
|
|
Image Classification (I8)
|
99% |
317
59.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
965
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
962
16.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
429
7.16 IPS |
|
|
Pose Estimation (F32)
|
100% |
1288
1.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
1280
1.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
950
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
821
61.3 IPS |
|
|
Object Detection (F16)
|
100% |
823
61.4 IPS |
|
|
Object Detection (I8)
|
65% |
454
33.9 IPS |
|
|
Face Detection (F32)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (F16)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (I8)
|
87% |
964
11.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1437
11.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
975
7.56 IPS |
|
|
Style Transfer (F32)
|
100% |
2000
2.63 IPS |
|
|
Style Transfer (F16)
|
100% |
2000
2.63 IPS |
|
|
Style Transfer (I8)
|
98% |
2131
2.80 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
934
33.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
933
33.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
591
21.1 IPS |
|
|
Text Classification (F32)
|
100% |
927
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
935
1.34 KIPS |
|
|
Text Classification (I8)
|
92% |
349
501.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1279
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1330
24.5 IPS |
|
|
Machine Translation (I8)
|
62% |
434
7.99 IPS |
