iPhone 16 Pro Max
Geekbench AI Score
4511
Single Precision Score
32691
Half Precision Score
44452
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 08:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
14393
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
17528
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18129
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23612
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9254
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124520
145.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
272570
319.5 IPS |
|
|
Object Detection (SP)
|
100% |
2057
163.1 IPS |
|
|
Object Detection (HP)
|
100% |
15932
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21909
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3474
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
39933
474.5 IPS |
|
|
Face Detection (Q)
|
100% |
54387
646.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8095
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94334
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151633
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21974
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244303
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
293319
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51222
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81026
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6124
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9049
155.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10155
175.5 IPS |
