iPhone 17 Pro Max
Geekbench AI Score
5083
Single Precision Score
8373
Half Precision Score
6611
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 04:05 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% |
2350
437.1 IPS |
|
|
Image Classification (HP)
|
100% |
3778
702.6 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10613
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18851
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16402
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2889
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
8523
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4468
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14303
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10146
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24591
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38237
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31544
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5578
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6802
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6141
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6131
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9733
168.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9144
158.0 IPS |
