iPhone 16 Pro Max
Geekbench AI Score
6019
Single Precision Score
7037
Half Precision Score
6692
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | August 22 2025 11:36 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2981
554.5 IPS |
|
|
Image Classification (HP)
|
100% |
2783
517.6 IPS |
|
|
Image Classification (Q)
|
96% |
3104
579.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4835
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4634
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15317
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16915
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16388
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
3224
255.7 IPS |
|
|
Object Detection (HP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (Q)
|
92% |
3120
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
7565
89.9 IPS |
|
|
Face Detection (HP)
|
100% |
10532
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
8236
97.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13164
101.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14461
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13918
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32264
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39957
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36873
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7841
289.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8117
299.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7496
276.8 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5936
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1141
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1309
22.6 IPS |
