iPhone 17 Pro Max
Geekbench AI Score
5171
Single Precision Score
8444
Half Precision Score
6649
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | February 13 2026 02:57 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
3713
690.6 IPS |
|
|
Image Classification (Q)
|
96% |
2477
462.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11034
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19655
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16846
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4172
332.1 IPS |
|
|
Object Detection (Q)
|
94% |
2891
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4694
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8551
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4600
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8484
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14261
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10118
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24826
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38158
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31637
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5533
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4988
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6172
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5956
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9719
167.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9380
162.1 IPS |
