Bosgame BeyondMax Series
Geekbench AI Score
24880
Single Precision Score
33787
Half Precision Score
19378
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | sm4215 |
| Upload Date | October 29 2025 12:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12192
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
13342
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10849
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21146
342.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16725
271.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18077
293.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
126159
147.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
277585
323.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
107480
125.9 IPS |
|
|
Object Detection (SP)
|
100% |
7209
571.8 IPS |
|
|
Object Detection (HP)
|
100% |
13089
1.04 KIPS |
|
|
Object Detection (Q)
|
87% |
7005
562.6 IPS |
|
|
Face Detection (SP)
|
100% |
30218
359.1 IPS |
|
|
Face Detection (HP)
|
100% |
44528
529.1 IPS |
|
|
Face Detection (Q)
|
97% |
24809
295.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
52971
408.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69710
537.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
43145
346.0 IPS |
|
|
Style Transfer (SP)
|
100% |
227266
292.2 IPS |
|
|
Style Transfer (HP)
|
100% |
415396
534.0 IPS |
|
|
Style Transfer (Q)
|
98% |
191519
247.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39406
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54167
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30476
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4220
5.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2704
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6804
117.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8113
139.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2994
56.2 IPS |
