iPhone 15 Pro Max
Geekbench AI Score
3044
Single Precision Score
5289
Half Precision Score
4297
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 06:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2288
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6749
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13162
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11192
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2487
198.0 IPS |
|
|
Object Detection (Q)
|
94% |
1765
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
2268
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
4871
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
2759
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5483
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9722
75.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6756
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16837
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25674
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21125
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3898
143.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3244
119.8 IPS |
|
|
Text Classification (SP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4270
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4251
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5832
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5882
101.7 IPS |
