iPhone 16 Pro Max
Geekbench AI Score
4427
Single Precision Score
32971
Half Precision Score
44490
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 02:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1999
371.8 IPS |
|
|
Image Classification (HP)
|
100% |
14437
2.68 KIPS |
|
|
Image Classification (Q)
|
97% |
18398
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18174
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23698
384.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8329
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
144424
168.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
288475
338.1 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
15501
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21356
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3564
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39616
470.7 IPS |
|
|
Face Detection (Q)
|
100% |
52150
619.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7808
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94113
725.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
150618
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
20359
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
243633
313.2 IPS |
|
|
Style Transfer (Q)
|
96% |
294269
379.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50282
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78670
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6126
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4045
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9214
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
10155
175.5 IPS |
