iPhone 16
Geekbench AI Score
4207
Single Precision Score
7235
Half Precision Score
5781
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 09:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3214
597.7 IPS |
|
|
Image Classification (Q)
|
96% |
2196
410.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2736
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3161
51.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8060
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
16566
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14091
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2189
173.6 IPS |
|
|
Object Detection (HP)
|
97% |
3623
288.4 IPS |
|
|
Object Detection (Q)
|
94% |
2503
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
3419
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6536
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
3770
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7510
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13122
101.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9116
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17294
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34963
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28178
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7029
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4978
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5997
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6020
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5896
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5868
101.4 IPS |
