iPhone 15 Pro Max
Geekbench AI Score
3810
Single Precision Score
6870
Half Precision Score
5635
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:55 PM |
| Views | 1 |
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% |
1551
288.4 IPS |
|
|
Image Classification (HP)
|
100% |
2957
550.0 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3023
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7820
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
16974
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14681
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
97% |
3253
259.0 IPS |
|
|
Object Detection (Q)
|
94% |
2345
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6702
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
3841
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6788
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12795
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8955
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20848
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33722
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27974
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4367
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5042
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3091
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7210
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7203
124.5 IPS |
