iPhone 17 Pro
Geekbench AI Score
5263
Single Precision Score
8381
Half Precision Score
6669
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 10:20 AM |
| Views | 4 |
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% |
2385
443.5 IPS |
|
|
Image Classification (HP)
|
100% |
2827
525.7 IPS |
|
|
Image Classification (Q)
|
94% |
1859
347.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3484
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8713
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16333
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14192
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
98% |
4052
322.4 IPS |
|
|
Object Detection (Q)
|
88% |
2727
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4733
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
9646
114.6 IPS |
|
|
Face Detection (Q)
|
100% |
4607
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7729
59.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11137
86.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8012
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21538
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40060
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32541
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4964
183.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9332
344.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5961
220.1 IPS |
|
|
Text Classification (SP)
|
99% |
6598
8.81 KIPS |
|
|
Text Classification (HP)
|
99% |
11071
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
10965
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5316
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8686
149.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8853
153.0 IPS |
