AZW EQ
Geekbench AI Score
3930
Single Precision Score
3964
Half Precision Score
6649
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:44 PM |
| Views | 3 |
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 | Balanced |
| 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% |
2691
500.5 IPS |
|
|
Image Classification (HP)
|
100% |
2750
511.4 IPS |
|
|
Image Classification (Q)
|
100% |
4601
855.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1292
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4243
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5278
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5342
6.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
11374
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
2564
203.4 IPS |
|
|
Object Detection (Q)
|
87% |
4680
375.3 IPS |
|
|
Face Detection (SP)
|
100% |
5616
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
5558
66.0 IPS |
|
|
Face Detection (Q)
|
97% |
12570
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6802
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6714
51.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
12147
95.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15311
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15347
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32812
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3074
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3109
114.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6642
246.0 IPS |
|
|
Text Classification (SP)
|
100% |
2619
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (Q)
|
91% |
1220
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4007
69.0 IPS |
