iPhone 16 Pro Max
Geekbench AI Score
4474
Single Precision Score
33175
Half Precision Score
44836
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 04:38 PM |
| 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% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
14871
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
18880
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18033
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23484
380.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8714
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
148522
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
288631
338.3 IPS |
|
|
Object Detection (SP)
|
100% |
2293
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
15629
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21178
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39929
474.4 IPS |
|
|
Face Detection (Q)
|
100% |
53833
639.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7869
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
93779
722.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
154127
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
21436
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244434
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294479
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5229
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51455
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80461
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6186
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6119
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8906
153.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10071
174.0 IPS |
