iPhone 16 Pro Max
Geekbench AI Score
4577
Single Precision Score
7761
Half Precision Score
6180
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A0B06 |
| Upload Date | May 24 2025 11:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9120
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17934
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15185
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.7 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3892
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7462
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4086
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14040
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9740
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19754
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36721
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30209
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5294
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7210
266.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6014
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6002
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4222
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7224
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7266
125.6 IPS |
