Default string Default string
Geekbench ML Score
1841
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | vm666 |
| Upload Date | September 26 2025 03:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 5.16 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 86.00 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1311
245.2 IPS |
|
|
Image Classification (F16)
|
100% |
1216
227.6 IPS |
|
|
Image Classification (I8)
|
99% |
1114
208.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2060
34.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1896
31.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1051
17.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2723
3.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
2737
3.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
3286
3.98 IPS |
|
|
Object Detection (F32)
|
100% |
1426
106.5 IPS |
|
|
Object Detection (F16)
|
100% |
1283
95.8 IPS |
|
|
Object Detection (I8)
|
65% |
1155
86.2 IPS |
|
|
Face Detection (F32)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (F16)
|
100% |
2695
32.0 IPS |
|
|
Face Detection (I8)
|
87% |
2589
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2594
20.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2528
19.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2766
21.4 IPS |
|
|
Style Transfer (F32)
|
100% |
3758
4.94 IPS |
|
|
Style Transfer (F16)
|
100% |
3497
4.60 IPS |
|
|
Style Transfer (I8)
|
98% |
6759
8.89 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1254
44.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1208
43.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1397
49.9 IPS |
|
|
Text Classification (F32)
|
100% |
837
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1039
1.49 KIPS |
|
|
Text Classification (I8)
|
92% |
694
997.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2497
46.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2636
48.5 IPS |
|
|
Machine Translation (I8)
|
62% |
896
16.5 IPS |
