iPhone 15 Pro Max
Geekbench AI Score
3910
Single Precision Score
6798
Half Precision Score
5549
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1701
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.4 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2413
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3078
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7825
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
16059
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13988
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
97% |
3321
264.4 IPS |
|
|
Object Detection (Q)
|
94% |
2304
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6616
78.6 IPS |
|
|
Face Detection (Q)
|
100% |
3804
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6957
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13357
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9160
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20755
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32039
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27017
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4388
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6073
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6118
105.7 IPS |
