iPhone 16 Pro Max
Geekbench AI Score
5908
Single Precision Score
7187
Half Precision Score
6744
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | sbossinger |
| Upload Date | August 30 2025 03:39 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2975
553.2 IPS |
|
|
Image Classification (HP)
|
100% |
2923
543.5 IPS |
|
|
Image Classification (Q)
|
96% |
3103
579.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4736
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14912
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18105
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17047
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3078
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
3574
283.5 IPS |
|
|
Object Detection (Q)
|
92% |
3446
275.1 IPS |
|
|
Face Detection (SP)
|
100% |
7086
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
10431
123.9 IPS |
|
|
Face Detection (Q)
|
100% |
8091
96.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12704
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15142
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13950
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31346
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39245
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38145
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7355
271.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8036
296.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7054
260.5 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6261
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6153
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1167
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1207
20.9 IPS |
