Bosgame BeyondMax Series
Geekbench AI Score
24998
Single Precision Score
31230
Half Precision Score
19597
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jchillari |
| Upload Date | December 13 2025 11:03 AM |
| Views | 14 |
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% |
12444
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
13642
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
11154
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21966
356.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17145
277.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18323
297.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
119900
139.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
185999
217.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
104122
122.0 IPS |
|
|
Object Detection (SP)
|
100% |
7147
566.9 IPS |
|
|
Object Detection (HP)
|
100% |
12918
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
7024
564.1 IPS |
|
|
Face Detection (SP)
|
100% |
30472
362.1 IPS |
|
|
Face Detection (HP)
|
100% |
44748
531.7 IPS |
|
|
Face Detection (Q)
|
97% |
24744
295.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
53646
413.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
64546
497.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
44279
355.1 IPS |
|
|
Style Transfer (SP)
|
100% |
220862
283.9 IPS |
|
|
Style Transfer (HP)
|
100% |
337116
433.4 IPS |
|
|
Style Transfer (Q)
|
98% |
188765
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38437
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48116
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30163
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4161
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2833
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
7140
123.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8057
138.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3164
59.3 IPS |
