iPhone 16 Pro Max
Geekbench AI Score
4585
Single Precision Score
7792
Half Precision Score
6202
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2083
387.4 IPS |
|
|
Image Classification (HP)
|
100% |
3397
631.8 IPS |
|
|
Image Classification (Q)
|
96% |
2286
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2837
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3339
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9132
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18213
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15268
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2640
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
3884
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7449
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8139
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14343
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19944
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37135
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30259
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5263
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7216
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5111
188.7 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5943
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4200
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7350
127.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7393
127.8 IPS |
