TUXEDO TUXEDO Sirius 16 Gen2
Geekbench AI Score
7770
Single Precision Score
11177
Half Precision Score
5831
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | TUXEDO TUXEDO Sirius 16 Gen2 |
| Motherboard | NB04 AHP958 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3134
582.9 IPS |
|
|
Image Classification (HP)
|
100% |
4666
867.8 IPS |
|
|
Image Classification (Q)
|
100% |
2963
551.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3774
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4633
75.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3195
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37117
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
63228
73.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
27246
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2824
224.0 IPS |
|
|
Object Detection (HP)
|
100% |
3916
310.7 IPS |
|
|
Object Detection (Q)
|
87% |
2601
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
5848
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
11003
130.7 IPS |
|
|
Face Detection (Q)
|
97% |
4911
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17580
135.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27281
210.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
13367
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
64333
82.7 IPS |
|
|
Style Transfer (HP)
|
100% |
108447
139.4 IPS |
|
|
Style Transfer (Q)
|
98% |
43503
56.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13281
490.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19682
726.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8706
322.4 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1629
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1674
31.4 IPS |
