iPhone 17 Pro Max
Geekbench AI Score
5183
Single Precision Score
8343
Half Precision Score
6650
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:34 PM |
| Views | 6 |
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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.9 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3078
49.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11052
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19375
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16787
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4138
329.4 IPS |
|
|
Object Detection (Q)
|
94% |
2885
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8593
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4636
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8380
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14235
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10097
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24833
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37935
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31217
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5661
209.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6821
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6118
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6045
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5274
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9343
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9439
163.1 IPS |
