iPhone 16 Pro Max
Geekbench AI Score
4610
Single Precision Score
7814
Half Precision Score
6232
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 08 2025 06:02 PM |
| Views | 5 |
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% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2866
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9337
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18463
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15449
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.8 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8154
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14275
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9813
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20387
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37452
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30833
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7125
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5104
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5971
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4209
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7369
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7393
127.8 IPS |
