iPhone 17 Pro
Geekbench AI Score
5195
Single Precision Score
8491
Half Precision Score
6711
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 20 2026 11:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2257
419.7 IPS |
|
|
Image Classification (HP)
|
100% |
3775
702.1 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20141
23.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16805
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4240
337.5 IPS |
|
|
Object Detection (Q)
|
94% |
2939
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8469
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4581
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8666
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14508
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10327
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25531
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39504
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32622
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5699
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7112
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5077
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6123
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5303
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9582
165.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9580
165.5 IPS |
