iPhone 17
Geekbench AI Score
8167
Single Precision Score
16365
Half Precision Score
17126
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | megaspaz |
| Upload Date | March 17 2026 03:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3767
700.6 IPS |
|
|
Image Classification (HP)
|
100% |
7656
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
7748
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5073
82.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8852
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9070
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18433
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49747
58.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65156
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
4057
321.8 IPS |
|
|
Object Detection (HP)
|
100% |
8016
635.9 IPS |
|
|
Object Detection (Q)
|
93% |
8163
651.0 IPS |
|
|
Face Detection (SP)
|
100% |
9784
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
21058
250.2 IPS |
|
|
Face Detection (Q)
|
100% |
20458
243.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15915
122.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32903
253.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35128
274.2 IPS |
|
|
Style Transfer (SP)
|
100% |
39176
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
90038
115.7 IPS |
|
|
Style Transfer (Q)
|
96% |
110978
143.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9145
337.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18322
676.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18955
699.9 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6319
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6901
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6082
105.1 IPS |
