iPhone 17
Geekbench AI Score
8211
Single Precision Score
16471
Half Precision Score
17252
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 03:45 PM |
| Views | 8 |
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% |
3763
699.8 IPS |
|
|
Image Classification (HP)
|
100% |
7652
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
7729
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5036
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8787
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9055
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18356
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
50420
58.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65839
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
4055
321.7 IPS |
|
|
Object Detection (HP)
|
100% |
7996
634.3 IPS |
|
|
Object Detection (Q)
|
93% |
8190
653.2 IPS |
|
|
Face Detection (SP)
|
100% |
9801
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
21182
251.7 IPS |
|
|
Face Detection (Q)
|
100% |
20466
243.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15957
122.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33179
255.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35352
276.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39261
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
90844
116.8 IPS |
|
|
Style Transfer (Q)
|
96% |
111464
143.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9257
341.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18438
680.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19090
704.9 IPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6469
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4895
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7122
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6271
108.4 IPS |
