iPhone 17 Pro
Geekbench AI Score
5230
Single Precision Score
8304
Half Precision Score
6631
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 14 2026 10:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2366
439.9 IPS |
|
|
Image Classification (HP)
|
100% |
2756
512.6 IPS |
|
|
Image Classification (Q)
|
94% |
1949
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3447
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8487
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
16279
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13963
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
98% |
4143
329.7 IPS |
|
|
Object Detection (Q)
|
88% |
2661
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
9742
115.8 IPS |
|
|
Face Detection (Q)
|
100% |
4549
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7768
59.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11075
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7940
62.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21108
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
40058
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32295
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9049
334.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5915
218.4 IPS |
|
|
Text Classification (SP)
|
100% |
6598
8.81 KIPS |
|
|
Text Classification (HP)
|
100% |
11065
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
10883
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5475
94.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8164
140.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8775
151.6 IPS |
