iPhone 16
Geekbench AI Score
4214
Single Precision Score
4704
Half Precision Score
4730
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | May 18 2025 07:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
817
152.0 IPS |
|
|
Image Classification (Q)
|
96% |
912
170.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3904
63.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3869
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13572
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13891
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13823
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (Q)
|
92% |
1474
117.7 IPS |
|
|
Face Detection (SP)
|
100% |
6649
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
9276
110.2 IPS |
|
|
Face Detection (Q)
|
100% |
7373
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11968
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12520
96.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11211
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29196
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31705
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31568
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3178
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3092
114.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6051
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6024
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1152
19.9 IPS |
