iPhone 16 Pro Max
Geekbench AI Score
4477
Single Precision Score
7695
Half Precision Score
6094
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 20 2025 07:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2068
384.6 IPS |
|
|
Image Classification (HP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2913
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8911
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17600
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14876
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (HP)
|
97% |
3730
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2595
206.9 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7214
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4058
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7790
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13890
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9441
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19085
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36526
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30125
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5160
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5927
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5849
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7262
125.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7191
124.3 IPS |
