iPhone 16 Pro Max
Geekbench AI Score
4568
Single Precision Score
33267
Half Precision Score
44326
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:30 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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
14718
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
17701
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18170
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23666
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9002
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151723
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
288644
338.3 IPS |
|
|
Object Detection (SP)
|
100% |
2346
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
15453
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21289
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3643
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
40012
475.4 IPS |
|
|
Face Detection (Q)
|
100% |
53091
630.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8141
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
93783
722.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
145807
1.14 KIPS |
|
|
Style Transfer (SP)
|
100% |
21637
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244870
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
293729
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51310
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79314
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6218
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4082
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9155
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10144
175.3 IPS |
