HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
11625
Single Precision Score
20606
Half Precision Score
8935
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| Upload Date | November 11 2024 04:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Power 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CA0 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4673
869.0 IPS |
|
|
Image Classification (HP)
|
99% |
8763
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
4261
792.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8377
135.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11731
190.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7532
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
52226
60.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
166807
194.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
42697
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
5831
462.5 IPS |
|
|
Object Detection (HP)
|
100% |
10429
827.3 IPS |
|
|
Object Detection (Q)
|
89% |
4954
396.5 IPS |
|
|
Face Detection (SP)
|
100% |
12211
145.1 IPS |
|
|
Face Detection (HP)
|
100% |
21012
249.7 IPS |
|
|
Face Detection (Q)
|
97% |
10191
121.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24206
186.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53620
413.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
20865
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
88531
113.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239744
308.2 IPS |
|
|
Style Transfer (Q)
|
98% |
80238
103.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19001
701.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32896
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14075
521.2 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
2909
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1536
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1296
28.9 IPS |
