iPhone 17 Pro Max
Geekbench AI Score
5174
Single Precision Score
8382
Half Precision Score
6655
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:07 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.1 IPS |
|
|
Image Classification (Q)
|
96% |
2495
465.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11207
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19347
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16672
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2685
213.0 IPS |
|
|
Object Detection (HP)
|
97% |
4250
338.3 IPS |
|
|
Object Detection (Q)
|
94% |
2883
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
4708
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8558
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4520
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14276
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10096
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24099
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38018
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31185
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4887
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6495
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6462
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5346
92.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8759
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9196
158.9 IPS |
