iPhone 15 Pro Max
Geekbench AI Score
3909
Single Precision Score
6808
Half Precision Score
5563
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:50 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% |
1664
309.4 IPS |
|
|
Image Classification (HP)
|
100% |
2919
542.8 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8049
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16191
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14076
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
97% |
3317
264.1 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6740
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6971
53.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13421
103.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9141
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20795
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32289
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
27535
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4360
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5551
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3128
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6015
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6028
104.2 IPS |
