iPhone 17 Pro Max
Geekbench AI Score
9304
Single Precision Score
17526
Half Precision Score
19029
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | February 13 2026 03:18 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 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% |
4342
807.5 IPS |
|
|
Image Classification (HP)
|
100% |
8638
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8868
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6086
98.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9615
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10504
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20308
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53966
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
67733
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
4463
354.0 IPS |
|
|
Object Detection (HP)
|
100% |
8632
684.7 IPS |
|
|
Object Detection (Q)
|
94% |
9642
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
12314
146.3 IPS |
|
|
Face Detection (HP)
|
100% |
26057
309.6 IPS |
|
|
Face Detection (Q)
|
100% |
25306
300.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18022
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33343
256.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37851
295.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44114
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
96366
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
122273
157.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10400
384.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18015
665.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21776
804.1 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6105
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6072
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7730
133.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6574
113.6 IPS |
