iPhone 17
Geekbench AI Score
8038
Single Precision Score
15672
Half Precision Score
15706
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 05:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
3645
677.9 IPS |
|
|
Image Classification (HP)
|
100% |
7252
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6639
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5053
81.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8791
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9051
146.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18383
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
50251
58.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
57823
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3929
311.6 IPS |
|
|
Object Detection (HP)
|
100% |
7374
584.9 IPS |
|
|
Object Detection (Q)
|
93% |
6802
542.6 IPS |
|
|
Face Detection (SP)
|
100% |
9173
109.0 IPS |
|
|
Face Detection (HP)
|
100% |
19013
225.9 IPS |
|
|
Face Detection (Q)
|
100% |
14677
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15780
121.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33768
260.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35311
275.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38953
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
90708
116.6 IPS |
|
|
Style Transfer (Q)
|
96% |
106435
137.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9286
342.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18450
681.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19595
723.6 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6518
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6482
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5404
93.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5519
95.4 IPS |
