iPhone 17 Pro
Geekbench AI Score
5226
Single Precision Score
8349
Half Precision Score
6600
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2348
436.7 IPS |
|
|
Image Classification (HP)
|
100% |
2776
516.2 IPS |
|
|
Image Classification (Q)
|
94% |
1870
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8674
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16004
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13920
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.3 IPS |
|
|
Object Detection (HP)
|
98% |
4131
328.7 IPS |
|
|
Object Detection (Q)
|
88% |
2741
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
4638
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
10021
119.1 IPS |
|
|
Face Detection (Q)
|
100% |
4570
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7737
59.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11122
86.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7886
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21441
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40063
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32277
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8977
331.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5852
216.1 IPS |
|
|
Text Classification (SP)
|
99% |
6599
8.81 KIPS |
|
|
Text Classification (HP)
|
99% |
11005
14.7 KIPS |
|
|
Text Classification (Q)
|
93% |
10881
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8700
149.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8647
149.4 IPS |
