AZW SER8
Geekbench AI Score
2709
Single Precision Score
2717
Half Precision Score
1867
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 01 2025 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.97 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
1973
366.8 IPS |
|
|
Image Classification (Q)
|
99% |
1454
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2895
46.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1251
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3208
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
3840
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
2095
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (Q)
|
85% |
1270
102.3 IPS |
|
|
Face Detection (SP)
|
100% |
3244
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
2873
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3213
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3232
24.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2339
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3598
4.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3655
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
6618
8.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1786
66.2 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3349
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (Q)
|
58% |
773
18.1 IPS |
