HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
8641
Single Precision Score
15792
Half Precision Score
6032
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | drodriguezwpb |
| Upload Date | October 07 2025 08:15 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio 16 inch G9 Mobile Workstation PC |
| Motherboard | HP 89C3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3729
693.4 IPS |
|
|
Image Classification (HP)
|
99% |
6889
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
2974
554.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5677
92.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9376
152.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4620
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34394
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
99967
116.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29108
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4145
328.8 IPS |
|
|
Object Detection (HP)
|
100% |
8596
681.9 IPS |
|
|
Object Detection (Q)
|
84% |
3390
273.4 IPS |
|
|
Face Detection (SP)
|
100% |
9550
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
16184
192.3 IPS |
|
|
Face Detection (Q)
|
97% |
7740
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20472
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42634
328.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14763
118.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59053
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
159136
204.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49124
63.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11851
437.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20648
762.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7504
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
1988
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
2663
3.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1002
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2879
49.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1116
20.9 IPS |
