iPhone 16 Pro
Geekbench AI Score
6123
Single Precision Score
7372
Half Precision Score
6888
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | August 15 2025 04:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3038
565.0 IPS |
|
|
Image Classification (HP)
|
100% |
3108
578.0 IPS |
|
|
Image Classification (Q)
|
96% |
3188
595.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4433
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5017
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4838
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15277
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18349
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17599
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
3214
254.9 IPS |
|
|
Object Detection (HP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (Q)
|
92% |
3271
261.1 IPS |
|
|
Face Detection (SP)
|
100% |
7452
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
10869
129.1 IPS |
|
|
Face Detection (Q)
|
100% |
8596
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13388
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15555
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14241
111.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31790
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40378
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
40228
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7581
279.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8240
304.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7093
261.9 IPS |
|
|
Text Classification (SP)
|
100% |
3690
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1273
22.0 IPS |
