iPhone 15 Pro Max
Geekbench AI Score
4955
Single Precision Score
5887
Half Precision Score
5697
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 10:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1870
347.7 IPS |
|
|
Image Classification (HP)
|
100% |
1733
322.3 IPS |
|
|
Image Classification (Q)
|
94% |
2155
402.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4162
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4014
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12956
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14969
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14505
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (Q)
|
90% |
2466
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
6607
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
9221
109.6 IPS |
|
|
Face Detection (Q)
|
100% |
7192
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10855
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12397
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
11196
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26913
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32243
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32537
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5363
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5465
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1499
25.9 IPS |
