iPhone 16 Pro Max
Geekbench AI Score
4488
Single Precision Score
7720
Half Precision Score
6165
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 07 2025 05:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1987
369.5 IPS |
|
|
Image Classification (HP)
|
100% |
3364
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8793
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18048
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15191
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7445
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4235
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7730
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14136
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9840
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23759
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37218
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30218
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5403
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4866
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6045
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5958
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3810
65.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6994
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6987
120.7 IPS |
