iPhone 16 Pro Max
Geekbench AI Score
4599
Single Precision Score
7810
Half Precision Score
6222
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 04:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.8 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9213
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18144
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15301
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.2 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7420
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4171
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14289
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9895
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20107
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37618
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29961
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7248
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5145
190.0 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
6024
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4191
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7254
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7374
127.4 IPS |
