iPhone 16
Geekbench AI Score
4522
Single Precision Score
33784
Half Precision Score
45145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:08 AM |
| 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% |
2044
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
14966
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
19221
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18135
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23462
380.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8943
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152176
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294773
345.5 IPS |
|
|
Object Detection (SP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
15537
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21476
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3600
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
40895
485.9 IPS |
|
|
Face Detection (Q)
|
100% |
50858
604.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8012
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94681
729.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
149537
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
21027
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243918
313.6 IPS |
|
|
Style Transfer (Q)
|
96% |
292336
377.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5485
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51534
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81249
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6283
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6220
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9871
170.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10964
189.5 IPS |
