iPhone 17 Pro
Geekbench AI Score
5090
Single Precision Score
8333
Half Precision Score
6555
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10706
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19050
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16003
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
97% |
4113
327.5 IPS |
|
|
Object Detection (Q)
|
94% |
2866
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4498
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8503
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4411
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8404
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14224
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9961
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23990
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38024
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30871
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5412
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6971
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4935
182.2 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6024
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5257
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9505
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9535
164.8 IPS |
