iPhone 17 Pro
Geekbench AI Score
5203
Single Precision Score
38374
Half Precision Score
52844
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
16483
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21656
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20197
327.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26221
425.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8322
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
147291
171.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294657
345.4 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
18134
1.44 KIPS |
|
|
Object Detection (Q)
|
89% |
26285
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
43097
512.1 IPS |
|
|
Face Detection (Q)
|
100% |
63942
759.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7713
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104617
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
173927
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
21328
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259457
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321937
415.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4950
182.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56110
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83941
3.10 KIPS |
|
|
Text Classification (SP)
|
99% |
6562
8.76 KIPS |
|
|
Text Classification (HP)
|
100% |
10955
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10904
14.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5432
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10830
186.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11784
203.6 IPS |
