HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
4500
Single Precision Score
6233
Half Precision Score
3062
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 06:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC |
| Motherboard | HP 8D89 |
| Power Plan | UoA-Power Plan-NonPeak-System on and monitor on |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2601
483.8 IPS |
|
|
Image Classification (HP)
|
100% |
3820
710.4 IPS |
|
|
Image Classification (Q)
|
99% |
1958
365.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3418
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5498
89.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2337
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9155
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16957
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
8087
9.47 IPS |
|
|
Object Detection (SP)
|
100% |
2739
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
4476
355.0 IPS |
|
|
Object Detection (Q)
|
86% |
2058
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
5869
69.7 IPS |
|
|
Face Detection (HP)
|
100% |
9273
110.2 IPS |
|
|
Face Detection (Q)
|
97% |
3788
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9365
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15122
116.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
6784
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24731
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41916
53.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19679
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4481
165.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6709
247.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3170
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
597
797.2 IPS |
|
|
Text Classification (Q)
|
97% |
657
879.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2362
40.8 IPS |
|
|
Machine Translation (Q)
|
70% |
904
17.0 IPS |
