iPhone 16 Pro Max
Geekbench AI Score
5989
Single Precision Score
7120
Half Precision Score
6790
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2897
538.7 IPS |
|
|
Image Classification (HP)
|
100% |
2751
511.6 IPS |
|
|
Image Classification (Q)
|
96% |
3127
584.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4223
68.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4709
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14909
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17771
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17403
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3098
245.8 IPS |
|
|
Object Detection (HP)
|
100% |
3400
269.7 IPS |
|
|
Object Detection (Q)
|
92% |
3411
272.3 IPS |
|
|
Face Detection (SP)
|
100% |
7497
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
10681
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
8537
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13267
102.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15726
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13595
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31071
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39684
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39045
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7281
268.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8129
300.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6974
257.5 IPS |
|
|
Text Classification (SP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6296
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6261
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1236
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1205
20.8 IPS |
