iPhone 15 Pro Max
Geekbench AI Score
4934
Single Precision Score
5940
Half Precision Score
5629
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Caliqo |
| Upload Date | October 08 2025 10:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1927
358.3 IPS |
|
|
Image Classification (HP)
|
100% |
2100
390.5 IPS |
|
|
Image Classification (Q)
|
96% |
2054
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3707
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4191
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4088
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12796
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14906
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14367
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
2618
207.6 IPS |
|
|
Object Detection (Q)
|
92% |
2427
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
6002
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
8367
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
6912
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10907
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12183
93.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
11254
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26159
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32250
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31545
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5625
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5380
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1500
25.9 IPS |
