iPhone 16 Pro Max
Geekbench AI Score
4631
Single Precision Score
32852
Half Precision Score
45390
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 10 2025 01:01 AM |
| Views | 3 |
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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
15298
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20453
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18334
297.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24179
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9174
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152303
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
291485
341.6 IPS |
|
|
Object Detection (SP)
|
100% |
2328
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
16146
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22345
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3899
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
41170
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
58239
692.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8269
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95031
732.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
159888
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20172
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246266
316.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303656
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5537
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50084
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83922
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4359
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4482
6.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10095
173.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10836
187.3 IPS |
