iPhone 17 Pro
Geekbench AI Score
10012
Single Precision Score
18672
Half Precision Score
20267
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 21 2026 08:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
4291
798.0 IPS |
|
|
Image Classification (HP)
|
100% |
8560
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
8863
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6096
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9638
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10551
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20364
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53969
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67997
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
4479
355.3 IPS |
|
|
Object Detection (HP)
|
100% |
8690
689.3 IPS |
|
|
Object Detection (Q)
|
94% |
9648
769.2 IPS |
|
|
Face Detection (SP)
|
100% |
12455
148.0 IPS |
|
|
Face Detection (HP)
|
100% |
26201
311.3 IPS |
|
|
Face Detection (Q)
|
100% |
25476
302.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18088
139.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33530
258.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38265
298.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43788
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
97072
124.8 IPS |
|
|
Style Transfer (Q)
|
96% |
122204
157.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10425
384.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18453
681.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21527
794.9 IPS |
|
|
Text Classification (SP)
|
99% |
6711
8.96 KIPS |
|
|
Text Classification (HP)
|
100% |
11135
14.9 KIPS |
|
|
Text Classification (Q)
|
93% |
11472
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
6151
106.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7601
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6480
112.0 IPS |
