iPhone 16 Pro Max
Geekbench AI Score
4643
Single Precision Score
33050
Half Precision Score
46162
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 11:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2072
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
14952
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
20863
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18304
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24082
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9379
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153545
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
290930
341.0 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
16243
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22614
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3891
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
41158
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
57925
688.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8250
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96067
740.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
158633
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
20377
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245162
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
302967
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50823
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83789
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4632
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4973
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9984
172.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11460
198.0 IPS |
