iPhone 16 Pro Max
Geekbench AI Score
4648
Single Precision Score
33116
Half Precision Score
44447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ahmadalfakher |
| Upload Date | October 18 2025 09:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
14327
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
17882
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18079
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23618
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9428
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152145
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291255
341.4 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
15531
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21134
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3652
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
39217
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
52816
627.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8251
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94255
726.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
150114
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
23071
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244434
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294149
379.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5619
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51318
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78807
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6147
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4057
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9117
157.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10247
177.1 IPS |
