iPhone 17 Pro
Geekbench AI Score
5151
Single Precision Score
8302
Half Precision Score
6538
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ks5z |
| Upload Date | March 19 2026 11:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2296
427.0 IPS |
|
|
Image Classification (HP)
|
100% |
3683
685.0 IPS |
|
|
Image Classification (Q)
|
96% |
2466
460.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3405
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10619
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19099
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16134
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
97% |
4123
328.2 IPS |
|
|
Object Detection (Q)
|
94% |
2804
223.5 IPS |
|
|
Face Detection (SP)
|
100% |
4574
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
8378
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4428
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14120
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10008
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24431
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37571
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30924
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5632
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4924
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6239
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5185
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9369
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9424
162.9 IPS |
