iPhone 17 Pro
Geekbench AI Score
5003
Single Precision Score
8144
Half Precision Score
6401
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 10:10 AM |
| Views | 3 |
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% |
2295
426.7 IPS |
|
|
Image Classification (HP)
|
100% |
3629
674.8 IPS |
|
|
Image Classification (Q)
|
96% |
2430
453.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10121
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18274
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15649
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2534
201.0 IPS |
|
|
Object Detection (HP)
|
97% |
4001
318.5 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
4440
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
8252
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
4239
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8205
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13850
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9624
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23439
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36062
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30072
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6845
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4843
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6277
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5048
87.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9001
155.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8984
155.3 IPS |
