iPhone 15 Pro Max
Geekbench AI Score
4905
Single Precision Score
5986
Half Precision Score
5376
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 09:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.6 IPS |
|
|
Image Classification (Q)
|
97% |
2065
385.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3764
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13240
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14116
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13317
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
100% |
2763
219.1 IPS |
|
|
Object Detection (Q)
|
91% |
2327
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
6082
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
8674
103.1 IPS |
|
|
Face Detection (Q)
|
100% |
5991
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10984
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12036
92.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10313
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27215
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32703
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30673
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6379
235.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5130
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5684
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5545
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1376
23.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1555
26.9 IPS |
