iPhone 15 Pro Max
Geekbench AI Score
5032
Single Precision Score
5893
Half Precision Score
5676
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:14 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% |
1988
369.8 IPS |
|
|
Image Classification (HP)
|
100% |
1693
314.8 IPS |
|
|
Image Classification (Q)
|
96% |
2072
387.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3722
60.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4231
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13131
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15093
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14560
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (Q)
|
92% |
2487
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
6371
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
8896
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
6928
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10971
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12334
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11338
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26781
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32453
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33025
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5981
220.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5556
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5428
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1383
23.9 IPS |
