iPhone 17 Pro Max
Geekbench AI Score
5140
Single Precision Score
8422
Half Precision Score
6657
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tyoung89 |
| Upload Date | February 02 2026 11:18 PM |
| Views | 8 |
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% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
3717
691.2 IPS |
|
|
Image Classification (Q)
|
96% |
2494
465.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3007
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10472
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19047
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16336
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
4142
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2872
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4398
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14242
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10079
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24552
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37866
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31020
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5450
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7059
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6673
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6628
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9463
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9369
161.9 IPS |
