iPhone 17 Pro
Geekbench AI Score
5280
Single Precision Score
8496
Half Precision Score
6621
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:50 AM |
| Views | 5 |
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% |
2353
437.6 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.3 IPS |
|
|
Image Classification (Q)
|
94% |
1874
350.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2366
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3466
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8801
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16657
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14264
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2734
216.8 IPS |
|
|
Object Detection (HP)
|
98% |
4304
342.5 IPS |
|
|
Object Detection (Q)
|
88% |
2700
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
4853
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
9844
117.0 IPS |
|
|
Face Detection (Q)
|
100% |
4573
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7804
60.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10917
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7957
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21641
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40398
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32422
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4934
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9396
347.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5929
218.9 IPS |
|
|
Text Classification (SP)
|
99% |
6571
8.77 KIPS |
|
|
Text Classification (HP)
|
99% |
11510
15.4 KIPS |
|
|
Text Classification (Q)
|
92% |
10759
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8761
150.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8604
148.7 IPS |
