iPhone 16 Pro Max
Geekbench AI Score
5820
Single Precision Score
6789
Half Precision Score
6215
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 12:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2878
535.2 IPS |
|
|
Image Classification (HP)
|
100% |
2608
485.0 IPS |
|
|
Image Classification (Q)
|
97% |
2811
524.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3289
53.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4413
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4433
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15777
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16543
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15757
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3239
256.9 IPS |
|
|
Object Detection (HP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (Q)
|
91% |
3140
250.9 IPS |
|
|
Face Detection (SP)
|
100% |
8183
97.2 IPS |
|
|
Face Detection (HP)
|
100% |
11024
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
7710
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14110
108.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15370
118.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12638
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32925
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38550
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37460
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8053
297.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8327
307.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6857
253.2 IPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6007
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
