iPhone 17 Pro
Geekbench AI Score
5264
Single Precision Score
8411
Half Precision Score
6631
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:42 AM |
| Views | 8 |
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% |
2362
439.3 IPS |
|
|
Image Classification (HP)
|
100% |
2696
501.4 IPS |
|
|
Image Classification (Q)
|
94% |
1886
352.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3508
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8659
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16510
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14115
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
98% |
4145
329.9 IPS |
|
|
Object Detection (Q)
|
88% |
2693
215.9 IPS |
|
|
Face Detection (SP)
|
100% |
4862
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
9874
117.3 IPS |
|
|
Face Detection (Q)
|
100% |
4717
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7865
60.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11370
87.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7982
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21677
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40653
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32267
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4866
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9660
356.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5870
216.7 IPS |
|
|
Text Classification (SP)
|
99% |
6598
8.81 KIPS |
|
|
Text Classification (HP)
|
99% |
10821
14.4 KIPS |
|
|
Text Classification (Q)
|
92% |
10804
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8645
148.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8490
146.7 IPS |
