iPhone 16 Pro Max
Geekbench AI Score
6125
Single Precision Score
6927
Half Precision Score
6837
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:03 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2852
530.3 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.4 IPS |
|
|
Image Classification (Q)
|
96% |
3061
571.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4382
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4743
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15626
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17428
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17243
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3323
263.6 IPS |
|
|
Object Detection (HP)
|
100% |
3398
269.6 IPS |
|
|
Object Detection (Q)
|
92% |
3383
270.0 IPS |
|
|
Face Detection (SP)
|
100% |
7880
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
10820
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
8693
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13993
107.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15585
120.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13873
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32403
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39293
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39632
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7880
291.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8094
298.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7474
276.0 IPS |
|
|
Text Classification (SP)
|
100% |
3397
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1255
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
