HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
2569
Single Precision Score
2558
Half Precision Score
6396
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235U |
| 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% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (Q)
|
100% |
5082
945.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4857
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3544
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2964
3.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
9916
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (Q)
|
88% |
4187
335.6 IPS |
|
|
Face Detection (SP)
|
100% |
4329
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (Q)
|
100% |
9985
118.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3709
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3694
28.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10499
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8681
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7974
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27775
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6801
251.9 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3389
4.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1667
28.7 IPS |
