iPhone 17
Geekbench AI Score
8215
Single Precision Score
16525
Half Precision Score
17257
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | juptr |
| Upload Date | February 12 2026 07:58 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
3778
702.6 IPS |
|
|
Image Classification (HP)
|
100% |
7824
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
7837
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5092
82.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8845
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9094
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18418
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
50742
59.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66043
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
4065
322.4 IPS |
|
|
Object Detection (HP)
|
100% |
8031
637.0 IPS |
|
|
Object Detection (Q)
|
93% |
8143
649.4 IPS |
|
|
Face Detection (SP)
|
100% |
9825
116.7 IPS |
|
|
Face Detection (HP)
|
100% |
21268
252.7 IPS |
|
|
Face Detection (Q)
|
100% |
20586
244.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15935
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33083
254.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35332
275.8 IPS |
|
|
Style Transfer (SP)
|
100% |
39270
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
90613
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
111709
144.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9225
340.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18451
681.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19062
703.9 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6445
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7104
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6180
106.8 IPS |
