iPhone 16 Pro Max
Geekbench AI Score
4655
Single Precision Score
32553
Half Precision Score
42823
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | May 13 2025 01:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
15339
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20748
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18264
296.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24133
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9291
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153013
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290700
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
16159
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22500
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41145
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
58606
696.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94732
729.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159508
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20476
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245389
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302681
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49966
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83601
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2500
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10032
172.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10710
185.1 IPS |
