iPhone 16 Pro Max
Geekbench AI Score
5548
Single Precision Score
6333
Half Precision Score
6442
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 03 2025 11:37 AM |
| Views | 2 |
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% |
3075
571.8 IPS |
|
|
Image Classification (HP)
|
100% |
3264
607.0 IPS |
|
|
Image Classification (Q)
|
96% |
3081
575.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4390
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4923
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4741
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12657
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12000
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14949
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2841
225.4 IPS |
|
|
Object Detection (HP)
|
100% |
3412
270.7 IPS |
|
|
Object Detection (Q)
|
92% |
3118
248.9 IPS |
|
|
Face Detection (SP)
|
100% |
7630
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
9551
113.5 IPS |
|
|
Face Detection (Q)
|
100% |
8608
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12854
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14858
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13805
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29450
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26314
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33558
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6650
245.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7123
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7808
288.3 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4622
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4531
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1285
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1282
22.2 IPS |
