iPhone 16
Geekbench AI Score
4518
Single Precision Score
33780
Half Precision Score
44923
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 12:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
14601
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
17928
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18083
293.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23535
381.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8867
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153172
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294582
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.5 IPS |
|
|
Object Detection (HP)
|
100% |
15838
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21368
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3556
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39792
472.8 IPS |
|
|
Face Detection (Q)
|
100% |
49931
593.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8132
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94470
727.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
149793
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
21030
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244510
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297214
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5390
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53630
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82218
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3728
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6308
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6328
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9715
167.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10898
188.3 IPS |
