CHUWI Innovation And Technology(ShenZhen)co.,Ltd GameBook
Geekbench ML Score
5765
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 28 2025 07:35 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CHUWI Innovation And Technology(ShenZhen)co.,Ltd GameBook |
| Motherboard | CHUWI Innovation And Technology(ShenZhen)co.,Ltd GameBook |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2197
411.1 IPS |
|
|
Image Classification (F16)
|
100% |
2149
402.1 IPS |
|
|
Image Classification (I8)
|
99% |
5568
1.04 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2255
37.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2097
35.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3512
58.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23049
27.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
23320
28.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
61479
74.4 IPS |
|
|
Object Detection (F32)
|
100% |
2363
176.4 IPS |
|
|
Object Detection (F16)
|
100% |
2385
178.1 IPS |
|
|
Object Detection (I8)
|
62% |
2570
191.9 IPS |
|
|
Face Detection (F32)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (F16)
|
100% |
3748
44.6 IPS |
|
|
Face Detection (I8)
|
89% |
5527
65.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9928
77.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9920
76.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
25459
197.4 IPS |
|
|
Style Transfer (F32)
|
100% |
38451
50.6 IPS |
|
|
Style Transfer (F16)
|
100% |
34335
45.2 IPS |
|
|
Style Transfer (I8)
|
98% |
35476
46.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4745
169.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4081
145.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6150
219.6 IPS |
|
|
Text Classification (F32)
|
100% |
1953
2.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1984
2.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1483
2.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
3301
60.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3405
62.7 IPS |
|
|
Machine Translation (I8)
|
67% |
4303
79.2 IPS |
