iPhone 17 Pro
Geekbench AI Score
5034
Single Precision Score
8122
Half Precision Score
6427
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 13 2026 01:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2280
424.0 IPS |
|
|
Image Classification (HP)
|
100% |
3625
674.1 IPS |
|
|
Image Classification (Q)
|
96% |
2423
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10148
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18203
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15504
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
97% |
4017
319.8 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8295
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
4192
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8207
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13657
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9705
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23644
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36827
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29642
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5360
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6716
248.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4835
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6323
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5305
91.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9067
156.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9396
162.4 IPS |
