HP HP OmniBook Ultra Laptop 14z-fd000
Geekbench AI Score
7616
Single Precision Score
10846
Half Precision Score
5600
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 04:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| 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% |
2696
501.3 IPS |
|
|
Image Classification (HP)
|
100% |
4281
796.1 IPS |
|
|
Image Classification (Q)
|
100% |
2683
498.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4028
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4880
79.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3340
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
38757
45.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
65407
76.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28142
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
100% |
3384
268.4 IPS |
|
|
Object Detection (Q)
|
87% |
2234
179.4 IPS |
|
|
Face Detection (SP)
|
100% |
6142
73.0 IPS |
|
|
Face Detection (HP)
|
100% |
11077
131.6 IPS |
|
|
Face Detection (Q)
|
97% |
5117
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16553
127.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23346
179.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12712
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
62590
80.5 IPS |
|
|
Style Transfer (HP)
|
100% |
110237
141.7 IPS |
|
|
Style Transfer (Q)
|
98% |
44243
57.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13185
486.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19232
710.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7671
284.1 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1663
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1468
27.5 IPS |
