Geekbench AI Score

9446
Single Precision Score
20004
Half Precision Score
7518
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2

Result Information

User IMaT_UoA
Upload Date October 28 2025 12:05 PM
Views 2

System Information

AI Information
Framework ONNX
Backend DirectML
Device NVIDIA RTX 500 Ada Generation Laptop GPU
System Information
Operating System Microsoft Windows 11 Enterprise (64-bit)
Model HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Motherboard HP 8D94
Power PlanUoA-Power Plan-Peak-15 min sleep
CPU Information
Name Intel(R) Core(TM) Ultra 7 265H
Topology 1 Processor, 16 Cores
Identifier GenuineIntel Family 6 Model 197 Stepping 2
Base Frequency 2.20 GHz
Cluster 16 Cores
Cluster 210 Cores
Memory Information
Size 32.00 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 3951
734.9 IPS
 
Image Classification (HP)
99% 9328
1.74 KIPS
 
Image Classification (Q)
99% 3762
701.6 IPS
 
Image Segmentation (SP)
100% 6512
105.6 IPS
 
Image Segmentation (HP)
100% 11957
193.8 IPS
 
Image Segmentation (Q)
98% 6408
104.2 IPS
 
Pose Estimation (SP)
100% 30619
35.7 IPS
 
Pose Estimation (HP)
100% 104884
122.4 IPS
 
Pose Estimation (Q)
96% 26762
31.4 IPS
 
Object Detection (SP)
100% 4590
364.1 IPS
 
Object Detection (HP)
100% 10153
805.3 IPS
 
Object Detection (Q)
84% 4118
332.1 IPS
 
Face Detection (SP)
100% 9882
117.4 IPS
 
Face Detection (HP)
100% 19774
235.0 IPS
 
Face Detection (Q)
97% 8677
103.5 IPS
 
Depth Estimation (SP)
100% 20310
156.5 IPS
 
Depth Estimation (HP)
99% 55146
424.9 IPS
 
Depth Estimation (Q)
77% 16678
133.6 IPS
 
Style Transfer (SP)
100% 58823
75.6 IPS
 
Style Transfer (HP)
100% 238458
306.5 IPS
 
Style Transfer (Q)
98% 51435
66.3 IPS
 
Image Super-Resolution (SP)
100% 14986
553.4 IPS
 
Image Super-Resolution (HP)
100% 27501
1.02 KIPS
 
Image Super-Resolution (Q)
99% 10815
400.5 IPS
 
Text Classification (SP)
100% 2665
3.56 KIPS
 
Text Classification (HP)
99% 3389
4.52 KIPS
 
Text Classification (Q)
97% 1651
2.21 KIPS
 
Machine Translation (SP)
100% 3318
57.2 IPS
 
Machine Translation (HP)
100% 3565
61.4 IPS
 
Machine Translation (Q)
70% 1634
30.6 IPS
 

Compare

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