HP HP ZBook Firefly 16 inch G9 Mobile Workstation PC
Geekbench AI Score
1793
Single Precision Score
751
Half Precision Score
2403
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nani-Bot |
| Upload Date | October 19 2024 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 16 inch G9 Mobile Workstation PC |
| Motherboard | HP 896D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1255U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1175
218.5 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
2195
409.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
977
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
1698
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1433
1.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
7626
8.94 IPS |
|
|
Object Detection (SP)
|
100% |
1286
102.0 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (Q)
|
88% |
1147
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
2943
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3819
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1144
8.81 IPS |
|
|
Depth Estimation (Q)
|
77% |
4547
36.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5449
7.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3847
4.95 IPS |
|
|
Style Transfer (Q)
|
98% |
12201
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2554
94.6 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
431
575.8 IPS |
|
|
Text Classification (Q)
|
97% |
421
563.4 IPS |
|
|
Machine Translation (SP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
347
5.98 IPS |
|
|
Machine Translation (Q)
|
60% |
1124
25.1 IPS |
