iPhone 17 Pro
Geekbench AI Score
5287
Single Precision Score
8429
Half Precision Score
6545
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2330
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
2847
529.4 IPS |
|
|
Image Classification (Q)
|
94% |
1876
350.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2321
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3480
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8831
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16783
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14432
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2685
212.9 IPS |
|
|
Object Detection (HP)
|
98% |
4259
338.9 IPS |
|
|
Object Detection (Q)
|
88% |
2684
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4867
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
9897
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
4577
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7835
60.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11195
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7906
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21666
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40020
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32411
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5030
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9418
347.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5900
217.9 IPS |
|
|
Text Classification (SP)
|
99% |
6570
8.77 KIPS |
|
|
Text Classification (HP)
|
99% |
10705
14.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10511
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5328
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8577
147.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7849
135.6 IPS |
