iPhone 15 Pro Max
Geekbench AI Score
4955
Single Precision Score
5826
Half Precision Score
5643
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 01:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1814
337.3 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.8 IPS |
|
|
Image Classification (Q)
|
96% |
2037
380.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4165
67.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4011
65.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12816
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
14888
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14332
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2396
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
2750
218.1 IPS |
|
|
Object Detection (Q)
|
92% |
2547
203.3 IPS |
|
|
Face Detection (SP)
|
100% |
6159
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
6971
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10911
84.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12307
94.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11161
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26219
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31708
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31477
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5265
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1390
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1541
26.6 IPS |
