iPhone 15 Pro Max
Geekbench AI Score
4963
Single Precision Score
5965
Half Precision Score
5693
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 04:01 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% |
1895
352.4 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.7 IPS |
|
|
Image Classification (Q)
|
96% |
2081
388.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4237
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4123
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13166
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15101
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14532
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (Q)
|
92% |
2503
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
6086
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
8477
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
6820
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10906
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12278
94.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11194
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26776
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32660
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33043
42.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6026
222.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5584
206.2 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5633
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1464
25.3 IPS |
