iPhone 15 Pro Max
Geekbench AI Score
4912
Single Precision Score
5849
Half Precision Score
5396
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
2061
383.3 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3739
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4093
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11483
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13950
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12997
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (Q)
|
92% |
2358
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
6181
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
8809
104.7 IPS |
|
|
Face Detection (Q)
|
100% |
6753
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10882
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12335
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11264
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27671
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29059
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32029
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5582
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5565
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1377
23.8 IPS |
