iPhone 15 Pro Max
Geekbench AI Score
3812
Single Precision Score
6836
Half Precision Score
5620
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 09:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
2993
556.7 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7870
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16124
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13947
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1721
136.5 IPS |
|
|
Object Detection (HP)
|
97% |
3241
258.0 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6547
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
3779
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6898
53.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12367
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8897
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18202
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33284
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26302
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4658
172.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5758
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4391
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5584
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7035
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7227
124.9 IPS |
