Standard Standard
Geekbench AI Score
2709
Single Precision Score
1272
Half Precision Score
4939
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 05:58 PM |
| Views | 2 |
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 | Balanced |
| 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% |
2210
410.9 IPS |
|
|
Image Classification (HP)
|
100% |
445
82.8 IPS |
|
|
Image Classification (Q)
|
99% |
5958
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2379
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5129
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4149
4.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
18715
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.5 IPS |
|
|
Object Detection (Q)
|
86% |
5138
413.0 IPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
1367
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
6725
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6539
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5946
47.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12125
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10241
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20258
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2272
84.1 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
587
783.6 IPS |
|
|
Text Classification (Q)
|
97% |
1463
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.69 IPS |
|
|
Machine Translation (Q)
|
65% |
2356
47.3 IPS |
