iPhone 16
Geekbench AI Score
4099
Single Precision Score
4394
Half Precision Score
4233
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 06:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
819
152.2 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.5 IPS |
|
|
Image Classification (Q)
|
97% |
906
169.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3006
48.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3078
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13576
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14034
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13313
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (Q)
|
91% |
1983
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
7139
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
9187
109.2 IPS |
|
|
Face Detection (Q)
|
100% |
6215
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11405
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11972
92.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10412
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29668
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32731
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30740
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4221
155.8 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5933
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
560
9.64 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.81 IPS |
