SLIMBOOK EXCALIBUR-16-AMD8
Geekbench ML Score
2421
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | July 04 2024 01:06 PM |
| Views | 63 |
System Information
| System Information | |
|---|---|
| Operating System | Slimbook OS |
| Model | SLIMBOOK EXCALIBUR-16-AMD8 |
| Motherboard | SLIMBOOK EXCALIBUR-16-AMD8 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.45 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 92.15 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1924
360.0 IPS |
|
|
Image Classification (F16)
|
100% |
1954
365.7 IPS |
|
|
Image Classification (I8)
|
99% |
1408
263.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2803
46.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2803
46.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1247
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
3159
3.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
3164
3.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
3798
4.60 IPS |
|
|
Object Detection (F32)
|
100% |
2135
159.4 IPS |
|
|
Object Detection (F16)
|
100% |
2115
157.9 IPS |
|
|
Object Detection (I8)
|
65% |
1354
101.1 IPS |
|
|
Face Detection (F32)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (F16)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (I8)
|
87% |
2654
31.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3241
25.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3256
25.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2763
21.4 IPS |
|
|
Style Transfer (F32)
|
100% |
3585
4.72 IPS |
|
|
Style Transfer (F16)
|
100% |
3594
4.73 IPS |
|
|
Style Transfer (I8)
|
98% |
6591
8.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2117
75.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2121
75.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1905
68.0 IPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2131
3.06 KIPS |
|
|
Text Classification (I8)
|
92% |
889
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
3264
60.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3227
59.4 IPS |
|
|
Machine Translation (I8)
|
62% |
1065
19.6 IPS |
