HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2678
Single Precision Score
9279
Half Precision Score
14370
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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-Peak-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% |
1597
297.0 IPS |
|
|
Image Classification (HP)
|
100% |
6611
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9371
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3718
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3205
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
31944
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
69665
81.6 IPS |
|
|
Object Detection (SP)
|
100% |
1236
98.1 IPS |
|
|
Object Detection (HP)
|
100% |
5755
456.5 IPS |
|
|
Object Detection (Q)
|
87% |
9593
769.9 IPS |
|
|
Face Detection (SP)
|
100% |
4460
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
14933
177.4 IPS |
|
|
Face Detection (Q)
|
100% |
26587
315.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4151
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18507
142.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34278
266.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9753
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51598
66.3 IPS |
|
|
Style Transfer (Q)
|
98% |
94035
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13457
496.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24776
917.6 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1951
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1952
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2398
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3893
67.1 IPS |
