HP HP EliteBook 630 13.3 inch G11 Notebook PC
Geekbench AI Score
335
Single Precision Score
163
Half Precision Score
387
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | snagata09 |
| Upload Date | December 03 2024 01:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 630 13.3 inch G11 Notebook PC |
| Motherboard | HP 8C85 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 125U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
31
5.80 IPS |
|
|
Image Classification (Q)
|
99% |
156
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
78
1.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1538
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
966
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
84
6.70 IPS |
|
|
Object Detection (Q)
|
86% |
141
11.3 IPS |
|
|
Face Detection (SP)
|
100% |
349
4.14 IPS |
|
|
Face Detection (HP)
|
100% |
90
1.07 IPS |
|
|
Face Detection (Q)
|
97% |
648
7.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
104
0.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
960
7.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1276
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (Q)
|
98% |
8934
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.62 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
432
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.8 IPS |
|
|
Text Classification (HP)
|
100% |
345
460.8 IPS |
|
|
Text Classification (Q)
|
97% |
100
133.6 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
114
1.97 IPS |
|
|
Machine Translation (Q)
|
65% |
194
3.90 IPS |
