iPhone 15 Pro Max
Geekbench AI Score
5099
Single Precision Score
5822
Half Precision Score
5524
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cesarjmoreno |
| Upload Date | June 08 2025 10:59 PM |
| Views | 5 |
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% |
2176
404.6 IPS |
|
|
Image Classification (HP)
|
100% |
1843
342.7 IPS |
|
|
Image Classification (Q)
|
96% |
1705
318.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3664
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4073
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13410
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14595
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14327
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
2725
216.2 IPS |
|
|
Object Detection (Q)
|
92% |
2364
188.7 IPS |
|
|
Face Detection (SP)
|
100% |
6229
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
6838
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11073
85.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12038
92.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11312
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26964
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31699
40.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31401
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5840
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5721
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5690
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5653
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1433
24.8 IPS |
