AZW EQ
Geekbench AI Score
2325
Single Precision Score
1167
Half Precision Score
3175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 24 2024 07:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW EQ |
| Motherboard | AZW EQ |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HX |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1424
264.9 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
96% |
2674
499.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
2223
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4374
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
3472
4.05 IPS |
|
|
Pose Estimation (Q)
|
87% |
9361
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
1533
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2407
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (Q)
|
96% |
3473
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5001
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1884
14.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5171
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10950
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8866
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
14667
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1889
69.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1535
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2291
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
1621
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.8 IPS |
|
|
Text Classification (Q)
|
97% |
1313
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
554
9.53 IPS |
|
|
Machine Translation (Q)
|
60% |
1541
34.4 IPS |
