iPhone 16 Pro Max
Geekbench AI Score
5905
Single Precision Score
6863
Half Precision Score
6676
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 30 2025 02:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2770
515.2 IPS |
|
|
Image Classification (HP)
|
100% |
2166
402.7 IPS |
|
|
Image Classification (Q)
|
96% |
2972
555.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4197
68.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4871
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4721
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14891
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18112
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17589
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
3334
264.5 IPS |
|
|
Object Detection (Q)
|
92% |
3163
252.4 IPS |
|
|
Face Detection (SP)
|
100% |
7438
88.4 IPS |
|
|
Face Detection (HP)
|
100% |
10471
124.4 IPS |
|
|
Face Detection (Q)
|
100% |
8566
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13330
102.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15878
122.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
14267
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31282
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39525
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39137
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7312
270.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7906
291.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6750
249.2 IPS |
|
|
Text Classification (SP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6091
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6064
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1151
19.9 IPS |
