iPhone 17 Pro
Geekbench AI Score
9136
Single Precision Score
17107
Half Precision Score
17553
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 05 2026 01:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
4254
791.1 IPS |
|
|
Image Classification (HP)
|
100% |
8352
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
7545
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9684
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10675
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20274
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53922
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59151
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
4471
354.6 IPS |
|
|
Object Detection (HP)
|
100% |
8485
673.1 IPS |
|
|
Object Detection (Q)
|
92% |
8336
665.7 IPS |
|
|
Face Detection (SP)
|
100% |
12485
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
26514
315.0 IPS |
|
|
Face Detection (Q)
|
100% |
19899
236.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18088
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35682
274.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38728
302.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44153
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94210
121.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119136
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17844
658.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21138
780.5 IPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6329
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6274
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4769
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5764
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5744
99.3 IPS |
