AZW GTR
Geekbench AI Score
2446
Single Precision Score
2479
Half Precision Score
1793
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | ahilker |
| Upload Date | April 15 2025 11:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7940HS |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | AZW GTR |
| Motherboard | AZW GTR |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.26 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1670
310.5 IPS |
|
|
Image Classification (HP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (Q)
|
99% |
1130
210.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2649
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1188
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2971
3.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
3895
4.56 IPS |
|
|
Object Detection (SP)
|
100% |
1975
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (Q)
|
85% |
1252
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3099
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
2770
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2999
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3057
23.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2295
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3728
4.79 IPS |
|
|
Style Transfer (HP)
|
100% |
3722
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
6685
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1767
65.5 IPS |
|
|
Text Classification (SP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
936
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2900
49.9 IPS |
|
|
Machine Translation (Q)
|
58% |
747
17.5 IPS |
