iPhone 15 Pro Max
Geekbench AI Score
3988
Single Precision Score
6879
Half Precision Score
5643
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:43 PM |
| Views | 1 |
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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.6 IPS |
|
|
Image Classification (Q)
|
96% |
2025
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8489
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
16882
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14673
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
97% |
3355
267.1 IPS |
|
|
Object Detection (Q)
|
94% |
2358
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6793
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3900
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7058
54.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13517
104.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9368
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21540
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32718
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27829
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4389
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6027
104.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6059
104.7 IPS |
