HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
5684
Single Precision Score
8920
Half Precision Score
13465
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:23 AM |
| Views | 3 |
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% |
3846
715.2 IPS |
|
|
Image Classification (HP)
|
100% |
5770
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7658
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4140
67.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9011
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12108
196.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12264
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11128
13.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
37289
43.7 IPS |
|
|
Object Detection (SP)
|
100% |
3614
286.6 IPS |
|
|
Object Detection (HP)
|
100% |
5552
440.4 IPS |
|
|
Object Detection (Q)
|
88% |
9147
733.0 IPS |
|
|
Face Detection (SP)
|
100% |
8685
103.2 IPS |
|
|
Face Detection (HP)
|
100% |
16233
192.9 IPS |
|
|
Face Detection (Q)
|
100% |
25839
307.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12474
96.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
21725
167.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24808
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30200
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40131
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85669
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5348
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9278
342.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14503
537.1 IPS |
|
|
Text Classification (SP)
|
71% |
1435
2.08 KIPS |
|
|
Text Classification (HP)
|
71% |
2247
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
2334
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3367
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3333
57.6 IPS |
