HP HP ZBook Firefly 16 inch G9 Mobile Workstation PC
Geekbench AI Score
3999
Single Precision Score
3659
Half Precision Score
2861
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nani-Bot |
| Upload Date | October 19 2024 03:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA T550 Laptop GPU |
| 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% |
1542
286.8 IPS |
|
|
Image Classification (HP)
|
100% |
1829
340.1 IPS |
|
|
Image Classification (Q)
|
100% |
1323
246.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2383
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16160
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10844
12.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
13509
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1707
135.4 IPS |
|
|
Object Detection (HP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (Q)
|
89% |
1312
105.1 IPS |
|
|
Face Detection (SP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
2701
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8521
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7105
54.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
6559
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25756
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19204
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22066
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5192
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3461
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
740
990.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1818
31.4 IPS |
|
|
Machine Translation (Q)
|
60% |
658
14.7 IPS |
