HP HP ZBook Power 15.6 inch G9 Mobile Workstation PC
Geekbench AI Score
6235
Single Precision Score
4946
Half Precision Score
4599
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 06 2024 07:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA T600 Laptop GPU |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2490
463.0 IPS |
|
|
Image Classification (HP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (Q)
|
100% |
2085
387.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4369
70.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3507
56.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3753
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23200
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
15277
17.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
21102
24.7 IPS |
|
|
Object Detection (SP)
|
100% |
2982
236.6 IPS |
|
|
Object Detection (HP)
|
100% |
2799
222.1 IPS |
|
|
Object Detection (Q)
|
89% |
2345
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
5241
62.3 IPS |
|
|
Face Detection (Q)
|
97% |
5334
63.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13829
106.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10732
82.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
10665
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43183
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29790
38.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37749
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9183
339.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6947
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6427
238.0 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
894
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2313
39.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2350
40.6 IPS |
|
|
Machine Translation (Q)
|
60% |
886
19.8 IPS |
