iPhone 17 Pro
Geekbench AI Score
9350
Single Precision Score
17688
Half Precision Score
18945
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | February 07 2026 10:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4306
800.8 IPS |
|
|
Image Classification (HP)
|
100% |
8618
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
8804
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6099
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9595
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10514
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20316
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53965
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67810
79.5 IPS |
|
|
Object Detection (SP)
|
100% |
4454
353.3 IPS |
|
|
Object Detection (HP)
|
100% |
8813
699.0 IPS |
|
|
Object Detection (Q)
|
94% |
9522
759.3 IPS |
|
|
Face Detection (SP)
|
100% |
12477
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
26122
310.4 IPS |
|
|
Face Detection (Q)
|
100% |
25089
298.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18075
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33408
257.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38141
297.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44025
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95549
122.8 IPS |
|
|
Style Transfer (Q)
|
96% |
122247
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10412
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19244
710.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21536
795.2 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6327
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6255
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5963
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7508
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6326
109.3 IPS |
