iPhone 16 Pro
Geekbench AI Score
6154
Single Precision Score
7019
Half Precision Score
6682
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 10 2025 03:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2968
551.9 IPS |
|
|
Image Classification (HP)
|
100% |
2768
514.8 IPS |
|
|
Image Classification (Q)
|
96% |
3074
574.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4472
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4906
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4701
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15670
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16358
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15927
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3132
248.4 IPS |
|
|
Object Detection (HP)
|
100% |
3366
267.0 IPS |
|
|
Object Detection (Q)
|
92% |
3204
255.8 IPS |
|
|
Face Detection (SP)
|
100% |
7810
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
10583
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
8271
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13406
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14269
109.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13307
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33217
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39405
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37627
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8030
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8453
312.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7567
279.4 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6020
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5958
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1289
22.3 IPS |
