iPhone 16
Geekbench AI Score
3931
Single Precision Score
4355
Half Precision Score
4312
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 08:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
855
159.0 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
97% |
918
171.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2827
45.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13597
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13931
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13200
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
1604
127.3 IPS |
|
|
Object Detection (Q)
|
91% |
1980
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
7020
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
9251
109.9 IPS |
|
|
Face Detection (Q)
|
100% |
6180
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11306
87.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11794
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10238
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29450
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32814
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30408
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3525
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4309
159.1 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5982
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5967
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
98% |
514
8.88 IPS |
