iPhone 15 Pro Max
Geekbench AI Score
4773
Single Precision Score
5903
Half Precision Score
5285
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 07 2024 05:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
97% |
2052
382.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2770
44.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3720
60.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3701
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13200
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14002
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13272
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (Q)
|
91% |
2330
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
4857
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
8313
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
5977
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10796
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11784
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
10209
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27208
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32394
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30342
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5927
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6335
233.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5070
187.2 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5517
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5454
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1431
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1416
24.5 IPS |
