HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
5141
Single Precision Score
6942
Half Precision Score
10404
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | DigitalWorkspace |
| Upload Date | May 27 2025 03:25 PM |
| Views | 8 |
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 Power 15.6 inch G9 Mobile Workstation PC |
| Motherboard | HP 89C0 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3256
605.6 IPS |
|
|
Image Classification (HP)
|
100% |
4820
896.4 IPS |
|
|
Image Classification (Q)
|
99% |
6117
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4998
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7986
129.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9376
152.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10531
12.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
8149
9.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
32091
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
3120
247.5 IPS |
|
|
Object Detection (HP)
|
100% |
4481
355.5 IPS |
|
|
Object Detection (Q)
|
90% |
7356
588.2 IPS |
|
|
Face Detection (SP)
|
100% |
8603
102.2 IPS |
|
|
Face Detection (HP)
|
100% |
12389
147.2 IPS |
|
|
Face Detection (Q)
|
100% |
16883
200.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10954
84.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
17091
132.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
22151
172.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27991
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37870
48.7 IPS |
|
|
Style Transfer (Q)
|
98% |
75610
97.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7340
271.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13522
500.8 IPS |
|
|
Text Classification (SP)
|
71% |
1296
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1485
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1413
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1536
26.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2116
36.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2033
35.0 IPS |
