iPhone 16 Pro Max
Geekbench AI Score
4539
Single Precision Score
33389
Half Precision Score
44735
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 05:17 AM |
| Views | 1 |
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% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
14684
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18539
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18119
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23713
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8828
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151316
176.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288197
337.8 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
15578
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21076
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
40127
476.8 IPS |
|
|
Face Detection (Q)
|
100% |
52756
626.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8105
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94158
725.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
150894
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
21395
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
244368
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294830
380.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51938
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80863
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6245
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4032
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9171
158.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10321
178.4 IPS |
