BeelinkEQr8 AZW EQ
Geekbench AI Score
2892
Single Precision Score
2910
Half Precision Score
5652
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | paulwalsh19 |
| Upload Date | April 28 2025 03:59 AM |
| Views | 6 |
| Notes | 6900hx with 680M 32gb DDR5 5400 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 6900HX with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW EQ |
| Motherboard | AZW EQ |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2146
399.1 IPS |
|
|
Image Classification (HP)
|
100% |
2143
398.6 IPS |
|
|
Image Classification (Q)
|
100% |
4158
773.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3417
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4221
4.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4240
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
10202
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (HP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (Q)
|
87% |
3692
296.1 IPS |
|
|
Face Detection (SP)
|
100% |
4649
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (Q)
|
97% |
11042
131.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5624
43.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
10539
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12230
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12153
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28497
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2438
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5926
219.5 IPS |
|
|
Text Classification (SP)
|
100% |
1191
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1251
1.67 KIPS |
|
|
Text Classification (Q)
|
91% |
1087
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3039
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2910
50.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2911
50.1 IPS |
