iPhone 16 Pro Max
Geekbench AI Score
6078
Single Precision Score
7026
Half Precision Score
6745
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 17 2025 03:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2704
502.8 IPS |
|
|
Image Classification (HP)
|
100% |
2617
486.6 IPS |
|
|
Image Classification (Q)
|
96% |
3086
576.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4394
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4725
76.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15529
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16996
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16824
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3340
264.9 IPS |
|
|
Object Detection (HP)
|
100% |
3493
277.1 IPS |
|
|
Object Detection (Q)
|
92% |
3145
251.1 IPS |
|
|
Face Detection (SP)
|
100% |
7656
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10633
126.3 IPS |
|
|
Face Detection (Q)
|
100% |
8583
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13437
103.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15287
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13951
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33030
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38685
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37973
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8037
296.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8214
303.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7520
277.7 IPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1261
21.8 IPS |
