iPhone 17 Pro Max
Geekbench AI Score
5121
Single Precision Score
8352
Half Precision Score
6549
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 02:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.9 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3007
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10583
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19113
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16090
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
4160
331.2 IPS |
|
|
Object Detection (Q)
|
94% |
2766
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8369
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4281
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14134
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9820
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24335
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37708
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30909
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6818
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4886
180.4 IPS |
|
|
Text Classification (SP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6418
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6354
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9505
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9474
163.7 IPS |
