iPhone 16 Pro Max
Geekbench AI Score
4584
Single Precision Score
7788
Half Precision Score
6214
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 06:01 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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.0 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1968
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3331
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9161
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18098
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15316
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2635
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7355
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4140
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8110
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14305
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9744
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19889
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37614
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30832
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7264
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5144
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5968
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6008
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7252
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7282
125.9 IPS |
