iPhone 15 Pro Max
Geekbench AI Score
4924
Single Precision Score
5950
Half Precision Score
5357
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2155
400.8 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.5 IPS |
|
|
Image Classification (Q)
|
97% |
2105
392.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3784
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3805
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13340
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14123
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13389
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
2924
231.9 IPS |
|
|
Object Detection (Q)
|
91% |
2272
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
6008
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
6143
73.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10814
83.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11739
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10359
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27295
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32259
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30205
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6394
236.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5266
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5500
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5482
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1442
24.9 IPS |
