iPhone 17 Pro Max
Geekbench AI Score
5144
Single Precision Score
8351
Half Precision Score
6638
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | December 29 2025 12:33 AM |
| Views | 7 |
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
432.7 IPS |
|
|
Image Classification (HP)
|
100% |
3663
681.2 IPS |
|
|
Image Classification (Q)
|
96% |
2455
458.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11026
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19508
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16727
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2897
230.9 IPS |
|
|
Face Detection (SP)
|
100% |
4574
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4532
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14332
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10093
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24448
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37890
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31292
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6770
250.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5840
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6005
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9894
171.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9556
165.1 IPS |
