iPhone 16 Pro Max
Geekbench AI Score
6089
Single Precision Score
6843
Half Precision Score
6592
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | March 18 2025 10:12 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2894
538.2 IPS |
|
|
Image Classification (HP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (Q)
|
96% |
2959
552.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4781
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15753
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16335
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15866
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3185
252.7 IPS |
|
|
Object Detection (HP)
|
100% |
3559
282.3 IPS |
|
|
Object Detection (Q)
|
92% |
3175
253.5 IPS |
|
|
Face Detection (SP)
|
100% |
7674
91.2 IPS |
|
|
Face Detection (HP)
|
100% |
10764
127.9 IPS |
|
|
Face Detection (Q)
|
100% |
8476
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13806
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14645
112.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13419
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33124
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37106
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36416
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8053
297.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8363
308.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7502
277.0 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5731
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1230
21.3 IPS |
