iPhone 15 Pro Max
Geekbench AI Score
4967
Single Precision Score
5993
Half Precision Score
5671
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | matt_johnson3 |
| Upload Date | January 02 2026 05:58 PM |
| Views | 5 |
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% |
1894
352.1 IPS |
|
|
Image Classification (HP)
|
100% |
2151
400.0 IPS |
|
|
Image Classification (Q)
|
94% |
1967
367.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3775
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4061
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12931
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14953
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14435
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (Q)
|
90% |
2381
190.4 IPS |
|
|
Face Detection (SP)
|
100% |
6348
75.4 IPS |
|
|
Face Detection (HP)
|
100% |
8919
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
7147
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10561
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12125
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11094
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26756
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29947
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32789
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5702
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5943
219.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5503
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5741
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5775
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1519
26.2 IPS |
