iPhone 15 Pro Max
Geekbench AI Score
3894
Single Precision Score
6805
Half Precision Score
5560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3066
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7999
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
16332
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14186
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
97% |
3310
263.5 IPS |
|
|
Object Detection (Q)
|
94% |
2328
185.6 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6588
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3803
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6943
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13257
102.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9170
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20798
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32567
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27447
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4850
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4422
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5508
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5892
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5920
102.3 IPS |
