Bosgame BeyondMax Series
Geekbench ML Score
4924
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:01 AM |
| Views | 4 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2709
506.9 IPS |
|
|
Image Classification (F16)
|
100% |
2477
463.6 IPS |
|
|
Image Classification (I8)
|
100% |
1970
368.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2680
44.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2700
45.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2291
38.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
37640
45.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
35849
43.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
29217
35.4 IPS |
|
|
Object Detection (F32)
|
100% |
1609
120.1 IPS |
|
|
Object Detection (F16)
|
100% |
1704
127.2 IPS |
|
|
Object Detection (I8)
|
62% |
1699
126.8 IPS |
|
|
Face Detection (F32)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (F16)
|
100% |
5363
63.8 IPS |
|
|
Face Detection (I8)
|
89% |
4142
49.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
15345
119.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
15219
118.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
12650
98.1 IPS |
|
|
Style Transfer (F32)
|
100% |
29121
38.3 IPS |
|
|
Style Transfer (F16)
|
100% |
29952
39.4 IPS |
|
|
Style Transfer (I8)
|
98% |
24962
32.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5516
197.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6007
214.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4250
151.8 IPS |
|
|
Text Classification (F32)
|
100% |
1493
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1450
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1132
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
1906
35.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1934
35.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1510
27.8 IPS |
