iPhone 15 Pro Max
Geekbench AI Score
3607
Single Precision Score
6773
Half Precision Score
5510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:36 PM |
| Views | 1 |
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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.1 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2923
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15210
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13180
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
3184
253.5 IPS |
|
|
Object Detection (Q)
|
94% |
2287
182.3 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
6473
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3655
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6541
50.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12592
97.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8673
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19517
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32203
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26394
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5623
207.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4304
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5683
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7223
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7148
123.5 IPS |
