HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
5604
Single Precision Score
8928
Half Precision Score
13502
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:29 AM |
| Views | 4 |
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% |
3939
732.6 IPS |
|
|
Image Classification (HP)
|
100% |
5759
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7662
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4044
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8893
144.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11986
194.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12296
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11234
13.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
37216
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (HP)
|
100% |
5311
421.2 IPS |
|
|
Object Detection (Q)
|
88% |
9019
722.8 IPS |
|
|
Face Detection (SP)
|
100% |
8623
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
16782
199.4 IPS |
|
|
Face Detection (Q)
|
100% |
26069
309.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12065
93.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
21863
169.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
25387
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30240
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40585
52.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85640
110.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9454
349.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14453
535.3 IPS |
|
|
Text Classification (SP)
|
71% |
1451
2.10 KIPS |
|
|
Text Classification (HP)
|
71% |
2193
3.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2320
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3414
59.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3439
59.4 IPS |
