iPhone 16 Pro Max
Geekbench AI Score
4435
Single Precision Score
7602
Half Precision Score
6059
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 04:36 AM |
| Views | 1 |
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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2893
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3257
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8592
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17128
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14409
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
97% |
3657
291.1 IPS |
|
|
Object Detection (Q)
|
94% |
2575
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7102
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
3983
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7850
60.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13567
104.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9547
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19206
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36072
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29310
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5120
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5937
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5983
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6997
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7096
122.6 IPS |
