iPhone 15 Pro Max
Geekbench AI Score
3619
Single Precision Score
6663
Half Precision Score
5465
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:20 AM |
| Views | 2 |
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% |
1536
285.7 IPS |
|
|
Image Classification (HP)
|
100% |
2955
549.5 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2949
47.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6893
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
15361
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13333
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1603
127.1 IPS |
|
|
Object Detection (HP)
|
97% |
3199
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2291
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5968
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3648
43.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6358
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12365
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8498
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19281
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31558
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
25752
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4222
155.9 IPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5615
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6902
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6951
120.1 IPS |
