iPhone 16 Pro Max
Geekbench AI Score
5918
Single Precision Score
7020
Half Precision Score
6706
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 02:52 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% |
2849
529.7 IPS |
|
|
Image Classification (HP)
|
100% |
2460
457.5 IPS |
|
|
Image Classification (Q)
|
96% |
3094
577.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4222
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4712
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14857
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17737
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17285
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3058
242.5 IPS |
|
|
Object Detection (HP)
|
100% |
3341
265.0 IPS |
|
|
Object Detection (Q)
|
92% |
3156
251.9 IPS |
|
|
Face Detection (SP)
|
100% |
7281
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
10678
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
8564
101.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13238
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15728
121.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13847
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31231
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39973
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39142
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7391
272.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8094
298.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6942
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6235
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6067
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1184
20.5 IPS |
