iPhone 17 Pro
Geekbench AI Score
5176
Single Precision Score
38278
Half Precision Score
52879
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
16883
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
22727
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19761
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25940
420.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8175
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
148610
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285126
334.2 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.4 IPS |
|
|
Object Detection (HP)
|
100% |
17793
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
24894
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
43071
511.8 IPS |
|
|
Face Detection (Q)
|
100% |
62936
747.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7712
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103952
800.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177756
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
21209
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
255029
327.8 IPS |
|
|
Style Transfer (Q)
|
96% |
320949
414.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4937
182.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55619
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84312
3.11 KIPS |
|
|
Text Classification (SP)
|
99% |
6649
8.87 KIPS |
|
|
Text Classification (HP)
|
100% |
10960
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10965
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5336
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10999
189.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12307
212.7 IPS |
