iPhone 15 Pro Max
Geekbench AI Score
3636
Single Precision Score
6740
Half Precision Score
5517
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1564
290.9 IPS |
|
|
Image Classification (HP)
|
100% |
2936
546.0 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2993
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15406
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13533
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
97% |
3176
252.9 IPS |
|
|
Object Detection (Q)
|
94% |
2293
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
6507
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3656
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6378
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12224
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8645
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19541
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31829
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26112
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4275
157.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4267
157.6 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3095
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7063
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7124
123.1 IPS |
