HP HP ZBook Firefly 16 inch G9 Mobile Workstation PC
Geekbench AI Score
1916
Single Precision Score
1818
Half Precision Score
4057
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nani-Bot |
| Upload Date | October 19 2024 03:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
1185
220.4 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (Q)
|
100% |
2869
533.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2707
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2834
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1968
2.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
6281
7.36 IPS |
|
|
Object Detection (SP)
|
100% |
1132
89.8 IPS |
|
|
Object Detection (HP)
|
100% |
1147
91.0 IPS |
|
|
Object Detection (Q)
|
88% |
2421
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
3331
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
2928
34.8 IPS |
|
|
Face Detection (Q)
|
100% |
6297
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3078
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3688
28.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
7472
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8626
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8699
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
23526
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3257
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
624
833.0 IPS |
|
|
Text Classification (HP)
|
100% |
616
822.2 IPS |
|
|
Text Classification (Q)
|
92% |
1778
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1597
27.5 IPS |
