iPhone 17 Pro
Geekbench AI Score
5152
Single Precision Score
38186
Half Precision Score
52749
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2026 11:56 AM |
| Views | 5 |
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% |
2320
431.4 IPS |
|
|
Image Classification (HP)
|
100% |
16376
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
23005
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19976
323.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24670
399.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8139
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
147405
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
276726
324.3 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.9 IPS |
|
|
Object Detection (HP)
|
100% |
17665
1.40 KIPS |
|
|
Object Detection (Q)
|
89% |
25402
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
42771
508.2 IPS |
|
|
Face Detection (Q)
|
100% |
62806
746.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7655
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
102745
791.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
174420
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
21375
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
255223
328.1 IPS |
|
|
Style Transfer (Q)
|
96% |
319837
412.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56180
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84537
3.12 KIPS |
|
|
Text Classification (SP)
|
99% |
6570
8.77 KIPS |
|
|
Text Classification (HP)
|
99% |
11003
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
11261
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5203
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11164
192.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12536
216.6 IPS |
