Bosgame BeyondMax Series
Geekbench AI Score
3014
Single Precision Score
1433
Half Precision Score
7367
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | flark |
| Upload Date | February 24 2026 02:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Bosgame BeyondMax Series |
| Motherboard | Bosgame ARB19D-03 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
99% |
7155
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8392
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4739
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
19974
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1988
157.7 IPS |
|
|
Object Detection (HP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
86% |
6687
537.4 IPS |
|
|
Face Detection (SP)
|
100% |
5102
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
10200
121.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5353
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2247
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6959
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9994
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8793
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26412
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1636
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6137
227.3 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1669
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3060
61.5 IPS |
