iPhone 15 Pro Max
Geekbench AI Score
4960
Single Precision Score
5909
Half Precision Score
5673
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1920
357.0 IPS |
|
|
Image Classification (HP)
|
100% |
1754
326.1 IPS |
|
|
Image Classification (Q)
|
96% |
2105
393.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3790
61.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4124
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13262
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15221
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14637
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2245
178.1 IPS |
|
|
Object Detection (HP)
|
100% |
2792
221.4 IPS |
|
|
Object Detection (Q)
|
92% |
2484
198.3 IPS |
|
|
Face Detection (SP)
|
100% |
5857
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
8615
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
7025
83.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10994
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12328
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11476
89.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27183
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32817
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32028
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5719
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5461
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5756
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5697
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1364
23.6 IPS |
