iPhone 15 Pro Max
Geekbench AI Score
3737
Single Precision Score
6843
Half Precision Score
5607
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 09:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1589
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2961
550.6 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3011
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7344
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
16094
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13810
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1629
129.2 IPS |
|
|
Object Detection (HP)
|
97% |
3245
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2332
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6541
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3717
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6667
51.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12521
96.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8811
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19975
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32443
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
26728
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4478
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5620
207.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4360
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5766
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5784
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7234
125.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7149
123.5 IPS |
