iPhone 16 Pro Max
Geekbench AI Score
5846
Single Precision Score
7078
Half Precision Score
6618
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:18 AM |
| Views | 3 |
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% |
2903
539.8 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
96% |
3132
584.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4860
78.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4680
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14786
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17546
20.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16927
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3044
241.5 IPS |
|
|
Object Detection (HP)
|
100% |
3674
291.4 IPS |
|
|
Object Detection (Q)
|
92% |
3125
249.5 IPS |
|
|
Face Detection (SP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
10135
120.4 IPS |
|
|
Face Detection (Q)
|
100% |
7781
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12554
96.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14709
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13726
107.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29989
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38669
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38212
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7267
268.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7753
286.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6755
249.4 IPS |
|
|
Text Classification (SP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
6497
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6474
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
