iPhone 16 Pro Max
Geekbench AI Score
6055
Single Precision Score
6985
Half Precision Score
6629
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 01:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2982
554.5 IPS |
|
|
Image Classification (HP)
|
100% |
2800
520.7 IPS |
|
|
Image Classification (Q)
|
96% |
3046
568.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4401
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4708
76.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15531
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16326
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15929
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (HP)
|
100% |
3391
269.0 IPS |
|
|
Object Detection (Q)
|
92% |
3136
250.4 IPS |
|
|
Face Detection (SP)
|
100% |
7521
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
10579
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
8236
97.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13420
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14875
114.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
13456
105.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32782
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37563
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37371
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8013
295.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8361
308.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7546
278.6 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
