iPhone 17 Pro
Geekbench AI Score
5233
Single Precision Score
8521
Half Precision Score
6713
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 06 2026 07:23 AM |
| Views | 3 |
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% |
2250
418.3 IPS |
|
|
Image Classification (HP)
|
100% |
2944
547.6 IPS |
|
|
Image Classification (Q)
|
94% |
1948
364.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3433
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8145
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14897
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13579
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
98% |
4285
341.0 IPS |
|
|
Object Detection (Q)
|
88% |
2632
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
9735
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
4670
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7771
59.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11220
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7978
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22014
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41885
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33260
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5162
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9865
364.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6241
230.4 IPS |
|
|
Text Classification (SP)
|
99% |
6719
8.97 KIPS |
|
|
Text Classification (HP)
|
99% |
11332
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
11744
15.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8585
147.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8573
148.2 IPS |
