iPhone 16 Pro Max
Geekbench AI Score
6026
Single Precision Score
7076
Half Precision Score
6745
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 05 2025 01:32 AM |
| Views | 5 |
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% |
2906
540.4 IPS |
|
|
Image Classification (HP)
|
100% |
2486
462.3 IPS |
|
|
Image Classification (Q)
|
96% |
3108
580.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4281
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4739
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14907
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17891
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17545
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
3263
258.8 IPS |
|
|
Object Detection (HP)
|
100% |
3347
265.5 IPS |
|
|
Object Detection (Q)
|
92% |
3168
252.9 IPS |
|
|
Face Detection (SP)
|
100% |
7486
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
10670
126.8 IPS |
|
|
Face Detection (Q)
|
100% |
8615
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13279
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15830
122.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13652
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31066
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39620
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39319
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7284
269.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8143
300.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6973
257.5 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6331
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6098
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1212
20.9 IPS |
