iPhone 15 Pro Max
Geekbench AI Score
3934
Single Precision Score
6830
Half Precision Score
5612
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 09:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1670
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
2915
542.1 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3073
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8062
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
16485
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14433
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
97% |
3317
264.1 IPS |
|
|
Object Detection (Q)
|
94% |
2342
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6667
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13435
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9345
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21376
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32593
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27640
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4953
182.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5933
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4449
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5567
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5966
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5970
103.2 IPS |
