HP HP ZBook Studio 16 inch G9 Mobile Workstation PC
Geekbench AI Score
7972
Single Precision Score
14828
Half Precision Score
5519
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drodriguezwpb |
| Upload Date | May 16 2025 09:54 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% |
3160
587.7 IPS |
|
|
Image Classification (HP)
|
99% |
6083
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
2664
496.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5364
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9059
146.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4603
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33444
39.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92356
107.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29251
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3945
312.9 IPS |
|
|
Object Detection (HP)
|
100% |
8263
655.4 IPS |
|
|
Object Detection (Q)
|
84% |
3034
244.7 IPS |
|
|
Face Detection (SP)
|
100% |
8601
102.2 IPS |
|
|
Face Detection (HP)
|
100% |
14708
174.8 IPS |
|
|
Face Detection (Q)
|
97% |
6999
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19107
147.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40721
313.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
14032
112.4 IPS |
|
|
Style Transfer (SP)
|
100% |
55563
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
153776
197.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47537
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10734
396.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20084
741.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6693
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
99% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2657
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2681
46.2 IPS |
|
|
Machine Translation (Q)
|
70% |
999
18.7 IPS |
