iPhone 15 Pro Max
Geekbench AI Score
3882
Single Precision Score
6794
Half Precision Score
5516
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:44 AM |
| 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% |
1658
308.4 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2010
375.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3016
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7479
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
15263
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13142
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1761
139.7 IPS |
|
|
Object Detection (HP)
|
97% |
3328
264.9 IPS |
|
|
Object Detection (Q)
|
94% |
2331
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6713
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3853
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6912
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13452
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9127
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20954
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32233
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27170
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4452
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6009
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5975
103.3 IPS |
