iPhone 15 Pro Max
Geekbench AI Score
3906
Single Precision Score
6770
Half Precision Score
5563
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bLoWfIsHrUlEz |
| Upload Date | December 27 2024 02:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1702
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
2889
537.3 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3077
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7822
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16083
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14054
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3324
264.7 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6726
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6921
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13250
102.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9161
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20772
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32008
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27167
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4361
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6006
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6050
104.5 IPS |
