HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
5609
Single Precision Score
8991
Half Precision Score
13435
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3764
700.0 IPS |
|
|
Image Classification (HP)
|
100% |
5787
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
7590
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4133
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9279
150.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12082
195.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12331
14.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
11158
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
37103
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
3315
262.9 IPS |
|
|
Object Detection (HP)
|
100% |
5386
427.2 IPS |
|
|
Object Detection (Q)
|
88% |
9130
731.7 IPS |
|
|
Face Detection (SP)
|
100% |
8579
101.9 IPS |
|
|
Face Detection (HP)
|
100% |
17064
202.8 IPS |
|
|
Face Detection (Q)
|
100% |
26320
312.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12640
97.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
21679
167.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24921
193.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30092
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40161
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84392
108.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9362
345.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14455
535.3 IPS |
|
|
Text Classification (SP)
|
71% |
1400
2.02 KIPS |
|
|
Text Classification (HP)
|
71% |
2279
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
2292
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3375
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3365
58.1 IPS |
