iPhone 17 Pro
Geekbench AI Score
9951
Single Precision Score
18721
Half Precision Score
20277
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 09:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
4268
793.6 IPS |
|
|
Image Classification (HP)
|
100% |
8637
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8948
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6076
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9597
155.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10551
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20204
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53851
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
68352
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
4480
355.4 IPS |
|
|
Object Detection (HP)
|
100% |
8723
691.9 IPS |
|
|
Object Detection (Q)
|
94% |
9647
769.2 IPS |
|
|
Face Detection (SP)
|
100% |
12460
148.0 IPS |
|
|
Face Detection (HP)
|
100% |
26482
314.7 IPS |
|
|
Face Detection (Q)
|
100% |
25511
303.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18063
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33489
258.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38134
297.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44530
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96341
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
122460
158.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10348
382.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18561
685.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21916
809.3 IPS |
|
|
Text Classification (SP)
|
99% |
6492
8.66 KIPS |
|
|
Text Classification (HP)
|
99% |
11021
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10940
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
6027
103.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7772
133.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6608
114.2 IPS |
