HONOR BRN-HXXB
Geekbench ML Score
2779
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 04 2024 07:29 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HONOR BRN-HXXB |
| Motherboard | HONOR BRN-HXXB-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 1.00 MB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1419
265.6 IPS |
|
|
Image Classification (F16)
|
100% |
1510
282.6 IPS |
|
|
Image Classification (I8)
|
99% |
4215
788.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
933
15.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
969
16.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1779
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4232
5.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
4783
5.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
20137
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1460
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1294
96.6 IPS |
|
|
Object Detection (I8)
|
62% |
1454
108.5 IPS |
|
|
Face Detection (F32)
|
100% |
2420
28.8 IPS |
|
|
Face Detection (F16)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (I8)
|
89% |
4325
51.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4595
35.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4997
38.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13045
101.2 IPS |
|
|
Style Transfer (F32)
|
100% |
10845
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
10632
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
19945
26.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2192
78.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2060
73.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3767
134.5 IPS |
|
|
Text Classification (F32)
|
100% |
1403
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1269
1.82 KIPS |
|
|
Text Classification (I8)
|
98% |
347
498.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1715
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1755
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2263
41.6 IPS |
