iPhone 16 Pro Max
Geekbench AI Score
4300
Single Precision Score
7436
Half Precision Score
5883
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 05:52 AM |
| Views | 2 |
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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.8 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3237
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8355
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
16422
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13798
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3644
290.1 IPS |
|
|
Object Detection (Q)
|
94% |
2507
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7117
84.6 IPS |
|
|
Face Detection (Q)
|
100% |
3822
45.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7348
56.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
12951
100.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9013
70.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17639
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33936
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28049
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6966
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4882
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5846
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5854
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7097
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7076
122.3 IPS |
