AZW SER8-win10 AZW SER8
Geekbench AI Score
7997
Single Precision Score
11296
Half Precision Score
6006
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfm408 |
| Upload Date | April 12 2025 11:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3128
581.7 IPS |
|
|
Image Classification (HP)
|
100% |
4302
800.0 IPS |
|
|
Image Classification (Q)
|
100% |
2836
527.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4037
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3312
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39403
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
66946
78.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28217
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2783
220.7 IPS |
|
|
Object Detection (HP)
|
100% |
3864
306.5 IPS |
|
|
Object Detection (Q)
|
87% |
2582
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
6258
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
11164
132.7 IPS |
|
|
Face Detection (Q)
|
97% |
5331
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17828
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26426
203.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13889
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
64374
82.8 IPS |
|
|
Style Transfer (HP)
|
100% |
105439
135.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43896
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12872
475.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19149
707.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8670
321.0 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1807
33.9 IPS |
