iPhone 15 Pro Max
Geekbench AI Score
4990
Single Precision Score
5908
Half Precision Score
5498
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 10:00 PM |
| Views | 1 |
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% |
1954
363.4 IPS |
|
|
Image Classification (HP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (Q)
|
96% |
1549
289.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4227
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4073
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13116
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15010
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14329
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (HP)
|
100% |
2708
214.8 IPS |
|
|
Object Detection (Q)
|
92% |
2692
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
6553
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
8391
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
7058
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10934
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12337
95.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11413
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27562
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32452
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31408
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5609
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5879
217.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5521
203.9 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5326
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5248
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1417
24.5 IPS |
