iPhone 17 Pro Max
Geekbench AI Score
5042
Single Precision Score
8250
Half Precision Score
6502
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 15 2026 05:28 PM |
| Views | 4 |
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% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.9 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3418
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18565
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15702
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
97% |
4055
322.8 IPS |
|
|
Object Detection (Q)
|
94% |
2759
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
8194
97.4 IPS |
|
|
Face Detection (Q)
|
100% |
4241
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14013
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9884
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24012
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37531
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30582
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6877
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5255
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9332
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9251
159.9 IPS |
