iPhone 16 Pro Max
Geekbench AI Score
4625
Single Precision Score
33002
Half Precision Score
44488
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:48 AM |
| Views | 9 |
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% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
13437
2.50 KIPS |
|
|
Image Classification (Q)
|
97% |
17753
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18143
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23425
379.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9428
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151757
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290973
341.0 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
15694
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21163
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
39752
472.3 IPS |
|
|
Face Detection (Q)
|
100% |
53795
639.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8256
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94258
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
151089
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
22661
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245143
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
294533
380.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5609
207.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51822
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79160
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6154
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9060
156.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10171
175.8 IPS |
