iPhone 15 Pro Max
Geekbench AI Score
3552
Single Precision Score
6607
Half Precision Score
5373
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 01:55 PM |
| Views | 6 |
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% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
2927
544.4 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2186
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2541
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6439
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
13088
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12175
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
3100
246.8 IPS |
|
|
Object Detection (Q)
|
94% |
2213
176.4 IPS |
|
|
Face Detection (SP)
|
100% |
2864
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
6295
74.8 IPS |
|
|
Face Detection (Q)
|
100% |
3607
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6425
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12360
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8558
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19268
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31504
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
25906
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
3277
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3012
51.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7058
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7147
123.5 IPS |
