iPhone 17 Pro Max
Geekbench AI Score
5187
Single Precision Score
8448
Half Precision Score
6725
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 04:44 PM |
| 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% |
2342
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
3810
708.6 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3072
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3470
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10993
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19679
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16900
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4234
337.1 IPS |
|
|
Object Detection (Q)
|
94% |
2912
232.1 IPS |
|
|
Face Detection (SP)
|
100% |
4606
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8417
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8613
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14323
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10252
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25142
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39077
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32164
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7016
259.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6120
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9449
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9437
163.1 IPS |
