HP HP OmniBook Ultra Laptop 14z-fd000
Geekbench AI Score
2508
Single Precision Score
1192
Half Precision Score
5580
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP OmniBook Ultra Laptop 14z-fd000 |
| Motherboard | HP 8CDD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1843
342.8 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
99% |
5964
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2767
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4606
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3790
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
19583
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1902
150.9 IPS |
|
|
Object Detection (HP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (Q)
|
86% |
5780
464.5 IPS |
|
|
Face Detection (SP)
|
100% |
4397
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
1191
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
8388
100.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5227
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1927
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7431
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10270
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9966
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26537
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2906
107.6 IPS |
|
|
Text Classification (SP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
552
736.4 IPS |
|
|
Text Classification (Q)
|
97% |
1375
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1703
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
65% |
2371
47.6 IPS |
