iPhone 16
Geekbench AI Score
4535
Single Precision Score
33793
Half Precision Score
45145
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 06:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
15000
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
18918
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18085
293.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23567
382.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8893
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153131
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294769
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
15527
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21302
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
40829
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
49505
588.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8093
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94681
729.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
155350
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
21131
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245671
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296067
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5630
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52989
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81546
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6133
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6171
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3939
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9758
168.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10963
189.5 IPS |
