iPhone 16
Geekbench AI Score
4314
Single Precision Score
33731
Half Precision Score
45817
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 12:51 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2025
376.6 IPS |
|
|
Image Classification (HP)
|
100% |
14713
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19102
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17968
291.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23706
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8040
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
147633
172.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
294802
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
16049
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21695
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
40906
486.1 IPS |
|
|
Face Detection (Q)
|
100% |
53044
630.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7592
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
94446
727.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
157448
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
19418
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244916
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298146
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4995
184.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52450
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82244
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6303
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6439
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9733
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10674
184.5 IPS |
