iPhone 16
Geekbench AI Score
2238
Single Precision Score
3910
Half Precision Score
3175
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 10:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1010
187.9 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.8 IPS |
|
|
Image Classification (Q)
|
96% |
1230
229.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1774
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4233
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
9025
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
7660
8.98 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
97% |
1984
158.0 IPS |
|
|
Object Detection (Q)
|
94% |
1446
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (Q)
|
100% |
2117
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3900
30.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7167
55.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5165
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10514
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20462
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
16799
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4039
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2812
103.8 IPS |
|
|
Text Classification (SP)
|
100% |
2028
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3326
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3299
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2692
46.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2531
43.7 IPS |
