Bosgame BeyondMax Series
Geekbench ML Score
4742
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 11 2025 05:15 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Bosgame BeyondMax Series |
| Motherboard | Bosgame AXB35-02 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1720
321.8 IPS |
|
|
Image Classification (F16)
|
100% |
1733
324.3 IPS |
|
|
Image Classification (I8)
|
99% |
4646
869.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
724
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2537
42.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16849
20.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
17629
21.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
55641
67.4 IPS |
|
|
Object Detection (F32)
|
100% |
1787
133.4 IPS |
|
|
Object Detection (F16)
|
100% |
2112
157.7 IPS |
|
|
Object Detection (I8)
|
62% |
2112
157.7 IPS |
|
|
Face Detection (F32)
|
100% |
4376
52.0 IPS |
|
|
Face Detection (F16)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (I8)
|
89% |
6251
74.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
9724
75.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9741
75.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
23114
179.2 IPS |
|
|
Style Transfer (F32)
|
100% |
29836
39.2 IPS |
|
|
Style Transfer (F16)
|
100% |
31608
41.6 IPS |
|
|
Style Transfer (I8)
|
98% |
51658
68.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3978
142.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3828
136.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4518
161.3 IPS |
|
|
Text Classification (F32)
|
100% |
1549
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1577
2.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1073
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
2852
52.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2792
51.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3917
72.1 IPS |
