AZW SER8
Geekbench AI Score
6342
Single Precision Score
6381
Half Precision Score
18115
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 16 2025 08:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | AZW SER8 |
| Motherboard | AZW SER8 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 27.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4040
751.3 IPS |
|
|
Image Classification (HP)
|
100% |
4073
757.4 IPS |
|
|
Image Classification (Q)
|
100% |
11847
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4666
75.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4695
76.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12734
206.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7755
9.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
7825
9.13 IPS |
|
|
Pose Estimation (Q)
|
98% |
31190
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3566
282.9 IPS |
|
|
Object Detection (HP)
|
100% |
3596
285.2 IPS |
|
|
Object Detection (Q)
|
88% |
12096
969.6 IPS |
|
|
Face Detection (SP)
|
100% |
8213
97.6 IPS |
|
|
Face Detection (HP)
|
100% |
8146
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
28692
340.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9865
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9900
76.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30569
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21438
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21565
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
82227
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4692
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4742
175.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16162
598.6 IPS |
|
|
Text Classification (SP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
92% |
6474
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
6281
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6335
109.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8860
152.6 IPS |
