iPhone 17 Pro Max
Geekbench AI Score
5082
Single Precision Score
8334
Half Precision Score
6571
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 20 2026 11:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.5 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10341
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18724
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15742
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
97% |
4133
329.0 IPS |
|
|
Object Detection (Q)
|
94% |
2813
224.2 IPS |
|
|
Face Detection (SP)
|
100% |
4434
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4339
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8372
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13825
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9949
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24408
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37799
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30887
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5403
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6910
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6505
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9343
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9401
162.5 IPS |
