Standard Standard
Geekbench AI Score
3020
Single Precision Score
3021
Half Precision Score
8559
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 10:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (Q)
|
100% |
5736
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2190
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5889
95.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3866
4.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3842
4.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
15113
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (Q)
|
88% |
4493
360.2 IPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
13012
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5074
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4826
37.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
13860
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10599
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10506
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43038
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2418
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8655
320.5 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
3139
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2973
51.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4363
75.1 IPS |
