iPhone 17 Pro
Geekbench AI Score
5026
Single Precision Score
36181
Half Precision Score
49896
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2256
419.6 IPS |
|
|
Image Classification (HP)
|
100% |
16619
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
21294
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19874
322.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25894
419.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10239
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
150661
175.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
296870
348.0 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
17973
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25371
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4273
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
41159
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
58949
700.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8202
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104532
805.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167497
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23585
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
258120
331.8 IPS |
|
|
Style Transfer (Q)
|
96% |
348815
450.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55216
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84163
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6329
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11079
190.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12554
216.9 IPS |
