iPhone 15 Pro Max
Geekbench AI Score
3420
Single Precision Score
6526
Half Precision Score
5401
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | matt_johnson3 |
| Upload Date | January 02 2026 05:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1155
214.8 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.2 IPS |
|
|
Image Classification (Q)
|
96% |
1495
279.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2227
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2806
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
15128
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13864
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
3168
252.2 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
6254
74.3 IPS |
|
|
Face Detection (Q)
|
100% |
3733
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6589
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12683
98.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8856
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20046
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32706
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26728
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3886
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5675
209.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4273
157.8 IPS |
|
|
Text Classification (SP)
|
100% |
3307
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5721
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7086
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7224
124.8 IPS |
