iPhone 16 Pro Max
Geekbench AI Score
4498
Single Precision Score
33179
Half Precision Score
44685
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 09 2026 04:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
14675
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18670
3.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18153
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23489
380.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8712
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
147032
171.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
289627
339.5 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
15488
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21375
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
40616
482.6 IPS |
|
|
Face Detection (Q)
|
100% |
52882
628.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93730
722.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
153799
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20678
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244420
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
293801
379.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51061
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78007
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6107
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9176
158.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10271
177.5 IPS |
