HP HP EliteBook 830 13 inch G9 Notebook PC
Geekbench AI Score
2061
Single Precision Score
2075
Half Precision Score
1318
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | mulnir |
| Upload Date | August 17 2024 05:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 830 13 inch G9 Notebook PC |
| Motherboard | HP 896D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1245U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
855
159.0 IPS |
|
|
Image Classification (HP)
|
100% |
844
157.0 IPS |
|
|
Image Classification (Q)
|
100% |
681
126.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8299
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
9291
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
4474
5.24 IPS |
|
|
Object Detection (SP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (HP)
|
98% |
875
69.6 IPS |
|
|
Object Detection (Q)
|
89% |
827
66.2 IPS |
|
|
Face Detection (SP)
|
100% |
1915
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2209
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
1295
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4223
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4609
35.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
2902
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17920
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23197
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11841
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2489
91.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3348
123.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1126
41.7 IPS |
|
|
Text Classification (SP)
|
100% |
559
746.3 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.2 IPS |
|
|
Text Classification (Q)
|
97% |
381
510.4 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
60% |
328
7.32 IPS |
