iPhone 15 Pro Max
Geekbench AI Score
4971
Single Precision Score
5896
Half Precision Score
5409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 03:25 PM |
| Views | 2 |
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% |
1910
355.1 IPS |
|
|
Image Classification (Q)
|
96% |
1518
283.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4284
69.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4094
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13220
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15122
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14607
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.2 IPS |
|
|
Object Detection (HP)
|
100% |
2804
222.4 IPS |
|
|
Object Detection (Q)
|
92% |
2435
194.3 IPS |
|
|
Face Detection (SP)
|
100% |
6244
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
8682
103.2 IPS |
|
|
Face Detection (Q)
|
100% |
6979
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10868
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12127
93.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11418
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27695
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33687
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31977
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5895
217.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5483
202.5 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5069
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1371
23.7 IPS |
