iPhone 17 Pro
Geekbench AI Score
5020
Single Precision Score
8197
Half Precision Score
6498
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
3617
672.7 IPS |
|
|
Image Classification (Q)
|
96% |
2422
452.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10194
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18656
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16103
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.2 IPS |
|
|
Object Detection (HP)
|
97% |
4012
319.4 IPS |
|
|
Object Detection (Q)
|
94% |
2770
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
8298
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
4348
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13812
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9743
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23705
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36562
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29858
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5226
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6871
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4900
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6280
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5185
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9309
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9358
161.7 IPS |
