iPhone 17 Pro
Geekbench AI Score
5031
Single Precision Score
8174
Half Precision Score
6429
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:34 PM |
| Views | 11 |
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% |
2285
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
3647
678.2 IPS |
|
|
Image Classification (Q)
|
96% |
2424
452.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10293
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18593
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15863
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
97% |
4005
318.8 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4414
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
8182
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4218
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8149
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13886
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9657
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23656
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36165
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29864
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5339
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6362
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6306
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9336
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9251
159.9 IPS |
