AZW SER
Geekbench AI Score
4671
Single Precision Score
6941
Half Precision Score
3436
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | xtoofur |
| Upload Date | December 21 2025 01:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SER |
| Motherboard | AZW SER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 6800U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
2616
486.4 IPS |
|
|
Image Classification (Q)
|
100% |
1359
252.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2485
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2002
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22507
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
45687
53.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16571
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1649
130.8 IPS |
|
|
Object Detection (HP)
|
100% |
2346
186.0 IPS |
|
|
Object Detection (Q)
|
87% |
1528
122.7 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6396
76.0 IPS |
|
|
Face Detection (Q)
|
97% |
2993
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10510
81.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16149
124.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7977
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44690
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
68797
88.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29382
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8340
308.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12944
478.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4804
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
1247
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1568
2.09 KIPS |
|
|
Text Classification (Q)
|
97% |
914
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1084
20.3 IPS |
