AZW GTR
Geekbench AI Score
3405
Single Precision Score
1498
Half Precision Score
4782
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | necrom23 |
| Upload Date | March 08 2025 01:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTR |
| Motherboard | AZW GTR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2923
543.7 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.4 IPS |
|
|
Image Classification (Q)
|
99% |
6878
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2234
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5822
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4647
5.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
20299
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (Q)
|
86% |
4567
367.1 IPS |
|
|
Face Detection (SP)
|
100% |
5806
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
1579
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
8772
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7785
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2266
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6351
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14151
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10795
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26565
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3329
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.6 IPS |
|
|
Text Classification (Q)
|
97% |
376
504.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1998
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2374
47.7 IPS |
