iPhone 15 Pro Max
Geekbench AI Score
3770
Single Precision Score
6787
Half Precision Score
5527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | March 19 2025 12:23 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1649
306.7 IPS |
|
|
Image Classification (HP)
|
100% |
2984
555.0 IPS |
|
|
Image Classification (Q)
|
96% |
2055
383.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2334
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3026
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7496
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
15539
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13430
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.7 IPS |
|
|
Object Detection (HP)
|
97% |
3205
255.2 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
6481
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6357
49.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12454
96.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8676
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19803
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31713
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26945
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4617
170.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5949
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5742
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5717
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6844
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6862
118.6 IPS |
