AZW SER8-win10 AZW SER8
Geekbench AI Score
6002
Single Precision Score
6039
Half Precision Score
16781
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sfm408 |
| Upload Date | April 12 2025 11:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 LTSC (64-bit) |
| 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 | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4005
744.8 IPS |
|
|
Image Classification (HP)
|
100% |
3938
732.3 IPS |
|
|
Image Classification (Q)
|
100% |
11377
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3364
54.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3802
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11975
194.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7572
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7910
9.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
31306
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3501
277.7 IPS |
|
|
Object Detection (HP)
|
100% |
3475
275.6 IPS |
|
|
Object Detection (Q)
|
88% |
11593
929.3 IPS |
|
|
Face Detection (SP)
|
100% |
8230
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
8276
98.3 IPS |
|
|
Face Detection (Q)
|
100% |
27275
324.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9802
75.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9947
76.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
29632
230.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21526
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21733
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
82053
105.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4661
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4606
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16013
593.0 IPS |
|
|
Text Classification (SP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
92% |
5468
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4818
83.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6170
106.3 IPS |
