iPhone 16 Pro Max
Geekbench AI Score
5898
Single Precision Score
7006
Half Precision Score
6643
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 01:53 AM |
| Views | 8 |
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% |
2873
534.2 IPS |
|
|
Image Classification (HP)
|
100% |
2661
494.8 IPS |
|
|
Image Classification (Q)
|
96% |
3049
569.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4185
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4887
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4716
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14871
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17911
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16830
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3238
256.9 IPS |
|
|
Object Detection (HP)
|
100% |
3329
264.0 IPS |
|
|
Object Detection (Q)
|
92% |
3149
251.4 IPS |
|
|
Face Detection (SP)
|
100% |
6926
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
10294
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
7939
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12609
97.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15440
119.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13874
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30654
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38892
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37843
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7403
273.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8170
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7073
261.2 IPS |
|
|
Text Classification (SP)
|
100% |
3682
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1226
21.2 IPS |
