Bosgame BeyondMax Series
Geekbench AI Score
24229
Single Precision Score
29935
Half Precision Score
19308
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | steff_jr |
| Upload Date | April 21 2026 03:35 PM |
| Views | 3 |
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% |
11595
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
12851
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10357
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21528
349.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17104
277.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18194
295.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
123058
143.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
189753
221.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
105214
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
6980
553.7 IPS |
|
|
Object Detection (HP)
|
100% |
12545
995.1 IPS |
|
|
Object Detection (Q)
|
87% |
6883
552.8 IPS |
|
|
Face Detection (SP)
|
100% |
30098
357.6 IPS |
|
|
Face Detection (HP)
|
100% |
42895
509.7 IPS |
|
|
Face Detection (Q)
|
97% |
24872
296.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
52156
401.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65714
506.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
44176
354.3 IPS |
|
|
Style Transfer (SP)
|
100% |
217894
280.1 IPS |
|
|
Style Transfer (HP)
|
100% |
321464
413.2 IPS |
|
|
Style Transfer (Q)
|
98% |
184398
237.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37092
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44963
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29841
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3653
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2535
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7017
120.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7668
132.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3443
64.6 IPS |
