iPhone 16 Pro Max
Geekbench AI Score
4592
Single Precision Score
33292
Half Precision Score
44882
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 07:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
14700
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18375
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18062
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23575
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9099
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151301
176.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
288842
338.5 IPS |
|
|
Object Detection (SP)
|
100% |
2344
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
15573
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21948
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39965
474.9 IPS |
|
|
Face Detection (Q)
|
100% |
53019
630.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8151
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94328
726.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
151901
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21958
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244831
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
294621
380.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5429
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51380
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79908
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3697
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6126
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6133
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4108
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9204
158.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10388
179.5 IPS |
