iPhone 15 Pro Max
Geekbench AI Score
4990
Single Precision Score
5974
Half Precision Score
5379
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MattyMultiMedia |
| Upload Date | February 22 2025 10:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2236
415.9 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
97% |
2253
420.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3740
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3774
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13398
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14316
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13457
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
2840
225.3 IPS |
|
|
Object Detection (Q)
|
91% |
2366
189.1 IPS |
|
|
Face Detection (SP)
|
100% |
6339
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
8495
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
6079
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11456
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11914
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10430
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27334
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32420
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30776
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6176
228.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5713
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5566
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1348
23.3 IPS |
