HP HP EliteBook 8 Flip G1i 13 inch Notebook AI PC
Geekbench AI Score
5689
Single Precision Score
9041
Half Precision Score
13497
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | July 01 2025 07:25 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% |
3843
714.7 IPS |
|
|
Image Classification (HP)
|
100% |
5747
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7678
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4102
66.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9182
148.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12063
195.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12344
14.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
11307
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
37365
43.7 IPS |
|
|
Object Detection (SP)
|
100% |
3636
288.4 IPS |
|
|
Object Detection (HP)
|
100% |
5658
448.8 IPS |
|
|
Object Detection (Q)
|
88% |
9077
727.4 IPS |
|
|
Face Detection (SP)
|
100% |
8730
103.7 IPS |
|
|
Face Detection (HP)
|
100% |
17147
203.7 IPS |
|
|
Face Detection (Q)
|
100% |
26420
313.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12798
98.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
22002
170.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24965
194.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29982
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39577
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84636
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5278
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9242
341.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14270
528.5 IPS |
|
|
Text Classification (SP)
|
71% |
1431
2.07 KIPS |
|
|
Text Classification (HP)
|
71% |
2283
3.30 KIPS |
|
|
Text Classification (Q)
|
92% |
2344
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1987
34.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3432
59.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3422
59.1 IPS |
