iPhone 17 Pro
Geekbench AI Score
4881
Single Precision Score
8048
Half Precision Score
6333
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 02:40 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
3683
684.8 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2987
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3374
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10521
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18200
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15584
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
4078
324.7 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7564
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7911
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13417
103.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9466
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24010
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36634
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30272
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6709
247.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4739
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6354
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4605
79.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8815
152.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8624
149.0 IPS |
