HP HP EliteBook 840 14 inch G11 Notebook PC
Geekbench AI Score
2389
Single Precision Score
2450
Half Precision Score
5949
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 28 2025 02:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 840 14 inch G11 Notebook PC |
| Motherboard | HP 8C26 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (HP)
|
100% |
1160
215.7 IPS |
|
|
Image Classification (Q)
|
100% |
3900
725.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4056
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3421
3.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
10719
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (Q)
|
88% |
3309
265.3 IPS |
|
|
Face Detection (SP)
|
100% |
3458
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3800
45.1 IPS |
|
|
Face Detection (Q)
|
100% |
8248
98.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3887
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4131
31.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10150
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10044
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9651
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30919
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6077
225.1 IPS |
|
|
Text Classification (SP)
|
100% |
1274
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
3164
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1971
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1989
34.3 IPS |
