iPhone 15 Pro Max
Geekbench AI Score
3888
Single Precision Score
6928
Half Precision Score
5596
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:15 PM |
| 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% |
1589
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2916
542.3 IPS |
|
|
Image Classification (Q)
|
96% |
2023
377.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3073
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7512
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
15474
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13519
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
97% |
3323
264.5 IPS |
|
|
Object Detection (Q)
|
94% |
2379
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
3169
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6777
80.5 IPS |
|
|
Face Detection (Q)
|
100% |
3796
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6873
53.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13251
102.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9087
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20687
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33268
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27653
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6258
231.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4467
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5706
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5665
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6218
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6250
108.0 IPS |
