iPhone 15 Pro Max
Geekbench AI Score
3710
Single Precision Score
6846
Half Precision Score
5607
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 01:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.7 IPS |
|
|
Image Classification (HP)
|
100% |
2990
556.0 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3029
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7116
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15935
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13850
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (HP)
|
97% |
3230
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6716
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3751
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6604
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12570
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8866
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20017
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32764
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26819
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7110
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7105
122.8 IPS |
