iPhone 16
Geekbench AI Score
4238
Single Precision Score
32983
Half Precision Score
46277
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 05 2025 03:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2003
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
15563
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
21117
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1814
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18218
295.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24005
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8069
9.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
142853
166.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294225
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
100% |
16604
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22528
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
41134
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
57389
681.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7588
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95995
739.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161408
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
17127
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245479
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
306168
395.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50443
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85802
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4536
6.05 KIPS |
|
|
Text Classification (Q)
|
93% |
4855
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10216
176.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11349
196.1 IPS |
