iPhone 15 Pro Max
Geekbench AI Score
2953
Single Precision Score
5313
Half Precision Score
4322
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 05:25 PM |
| Views | 2 |
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% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.1 IPS |
|
|
Image Classification (Q)
|
96% |
1496
279.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2286
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
13141
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11228
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2501
199.1 IPS |
|
|
Object Detection (Q)
|
94% |
1768
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
4935
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
2764
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5357
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9721
75.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6767
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16557
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25282
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20802
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4272
157.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3260
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4292
5.73 KIPS |
|
|
Text Classification (Q)
|
93% |
4346
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5982
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6087
105.2 IPS |
