iPhone 16 Pro Max
Geekbench AI Score
4496
Single Precision Score
33226
Half Precision Score
44742
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2041
379.5 IPS |
|
|
Image Classification (HP)
|
100% |
14629
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18159
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18098
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23680
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8555
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
145933
170.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
289047
338.8 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
100% |
15914
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21628
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
40655
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
53418
634.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7834
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93908
723.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
152787
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
20750
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244542
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294503
380.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50794
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77707
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6121
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6247
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4096
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9190
158.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10251
177.2 IPS |
