Standard Standard
Geekbench AI Score
1595
Single Precision Score
707
Half Precision Score
3175
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Standard Standard |
| Motherboard | Standard Standard |
| Power Plan | Bilanciato |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1132
210.6 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.6 IPS |
|
|
Image Classification (Q)
|
99% |
3168
590.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1526
24.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
9297
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
86% |
3102
249.3 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.43 IPS |
|
|
Face Detection (Q)
|
97% |
5097
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3147
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1107
8.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
3584
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5835
7.50 IPS |
|
|
Style Transfer (HP)
|
100% |
5234
6.73 IPS |
|
|
Style Transfer (Q)
|
98% |
16699
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1616
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.2 IPS |
|
|
Text Classification (HP)
|
100% |
354
472.3 IPS |
|
|
Text Classification (Q)
|
97% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (Q)
|
65% |
1913
38.4 IPS |
