iPhone 17 Pro
Geekbench AI Score
9404
Single Precision Score
17717
Half Precision Score
19173
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | rsherrick707 |
| Upload Date | March 11 2026 05:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4344
807.8 IPS |
|
|
Image Classification (HP)
|
100% |
8711
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
8933
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6122
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9648
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10547
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20317
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53966
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68092
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
4478
355.2 IPS |
|
|
Object Detection (HP)
|
100% |
8753
694.3 IPS |
|
|
Object Detection (Q)
|
94% |
9637
768.4 IPS |
|
|
Face Detection (SP)
|
100% |
12397
147.3 IPS |
|
|
Face Detection (HP)
|
100% |
26052
309.6 IPS |
|
|
Face Detection (Q)
|
100% |
25101
298.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18035
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33447
257.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37911
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44229
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95092
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
122303
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10363
382.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18015
665.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21638
799.0 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6653
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6433
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7732
133.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6703
115.8 IPS |
