HP HP ZBook Firefly 16 inch G9 Mobile Workstation PC
Geekbench AI Score
4186
Single Precision Score
5363
Half Precision Score
7951
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nani-Bot |
| Upload Date | October 19 2024 03:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2503
465.5 IPS |
|
|
Image Classification (HP)
|
100% |
3496
650.2 IPS |
|
|
Image Classification (Q)
|
99% |
4546
847.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3856
62.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6164
99.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6879
111.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9571
11.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
6224
7.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
28227
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
3313
262.8 IPS |
|
|
Object Detection (Q)
|
90% |
4728
378.0 IPS |
|
|
Face Detection (SP)
|
100% |
6970
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
10474
124.5 IPS |
|
|
Face Detection (Q)
|
100% |
14968
177.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8913
68.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13882
107.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16694
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24060
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29379
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
61518
79.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9655
357.6 IPS |
|
|
Text Classification (SP)
|
71% |
1168
1.69 KIPS |
|
|
Text Classification (HP)
|
71% |
1293
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1342
23.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1340
23.1 IPS |
