iPhone 16 Pro Max
Geekbench AI Score
6107
Single Precision Score
7013
Half Precision Score
6704
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 03:43 PM |
| 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% |
3053
567.7 IPS |
|
|
Image Classification (HP)
|
100% |
2621
487.5 IPS |
|
|
Image Classification (Q)
|
96% |
3077
574.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4906
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4714
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15453
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16462
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
15892
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3171
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3682
292.0 IPS |
|
|
Object Detection (Q)
|
92% |
3402
271.6 IPS |
|
|
Face Detection (SP)
|
100% |
7574
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
10705
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
8479
100.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13405
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14559
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13438
105.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33068
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37820
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37588
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8001
295.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8222
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7539
278.4 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6038
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1187
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1263
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1243
21.5 IPS |
