HP HP ZBook Fury 16 G10 Mobile Workstation PC
Geekbench AI Score
18893
Single Precision Score
29663
Half Precision Score
14180
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | OracleDBA |
| Upload Date | November 19 2025 08:04 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 16 G10 Mobile Workstation PC |
| Motherboard | HP 8B92 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13950HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7376
1.37 KIPS |
|
|
Image Classification (HP)
|
99% |
11399
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
6669
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13182
213.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16100
261.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11828
192.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
109695
128.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
254293
296.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
79040
92.6 IPS |
|
|
Object Detection (SP)
|
100% |
9145
725.4 IPS |
|
|
Object Detection (HP)
|
100% |
14013
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
7614
609.6 IPS |
|
|
Face Detection (SP)
|
100% |
23444
278.6 IPS |
|
|
Face Detection (HP)
|
100% |
32347
384.4 IPS |
|
|
Face Detection (Q)
|
97% |
20408
243.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
43505
335.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95960
741.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
35474
285.8 IPS |
|
|
Style Transfer (SP)
|
100% |
221013
284.1 IPS |
|
|
Style Transfer (HP)
|
100% |
514494
661.4 IPS |
|
|
Style Transfer (Q)
|
98% |
192191
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30973
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47178
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26081
965.8 IPS |
|
|
Text Classification (SP)
|
100% |
2632
3.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3369
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1312
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3178
54.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1455
32.5 IPS |
