iPhone 15 Pro Max
Geekbench AI Score
4858
Single Precision Score
5516
Half Precision Score
5357
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 22 2025 09:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.3 IPS |
|
|
Image Classification (HP)
|
100% |
2274
422.8 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3597
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4139
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4015
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12966
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10804
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14103
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
2889
229.2 IPS |
|
|
Object Detection (Q)
|
92% |
2409
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
6214
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
8321
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
6783
80.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11026
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12088
93.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11020
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20851
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22455
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
25319
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5852
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5404
199.6 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4807
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1352
23.4 IPS |
