iPhone 17 Pro
Geekbench AI Score
9027
Single Precision Score
17105
Half Precision Score
17583
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 10:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4362
811.2 IPS |
|
|
Image Classification (HP)
|
100% |
8624
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
7817
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6039
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9530
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10585
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20085
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53262
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57906
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
8696
689.8 IPS |
|
|
Object Detection (Q)
|
92% |
8492
678.1 IPS |
|
|
Face Detection (SP)
|
100% |
12199
145.0 IPS |
|
|
Face Detection (HP)
|
100% |
25877
307.5 IPS |
|
|
Face Detection (Q)
|
100% |
19393
230.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17875
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35669
274.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38456
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43448
55.9 IPS |
|
|
Style Transfer (HP)
|
100% |
93521
120.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119015
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10372
383.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17852
659.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21728
802.3 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5994
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4789
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5954
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6006
103.8 IPS |
