iPhone 15 Pro Max
Geekbench AI Score
3604
Single Precision Score
6787
Half Precision Score
5583
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 11:39 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.7 IPS |
|
|
Image Classification (Q)
|
96% |
2024
377.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2364
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2944
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
15533
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13906
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
97% |
3207
255.3 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
6570
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
3752
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6511
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12583
97.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8905
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19168
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32144
41.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27549
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4578
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4412
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5581
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6861
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6901
119.3 IPS |
