iPhone 16 Pro Max
Geekbench AI Score
4637
Single Precision Score
7841
Half Precision Score
6264
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 04:22 PM |
| 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% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9439
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18530
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15641
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2329
184.8 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3865
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7426
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4208
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8235
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14373
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9958
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20610
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37811
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30849
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5531
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5214
192.5 IPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6027
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6031
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7336
126.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7294
126.1 IPS |
