iPhone 15 Pro Max
Geekbench AI Score
4779
Single Precision Score
5708
Half Precision Score
5542
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 02:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1842
342.6 IPS |
|
|
Image Classification (HP)
|
100% |
1837
341.6 IPS |
|
|
Image Classification (Q)
|
96% |
2294
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3732
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4169
67.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4056
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13156
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15068
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14516
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (Q)
|
92% |
2460
196.4 IPS |
|
|
Face Detection (SP)
|
100% |
6246
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
8607
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
6897
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10785
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12443
95.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11214
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26939
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32318
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33176
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5684
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5834
215.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5511
203.5 IPS |
|
|
Text Classification (SP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4211
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4215
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1382
23.9 IPS |
