iPhone 16
Geekbench AI Score
4324
Single Precision Score
33379
Half Precision Score
44915
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Osoczer |
| Upload Date | March 05 2026 08:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
14504
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
18375
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18091
293.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23686
384.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7826
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
147140
171.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292852
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
15896
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
20823
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
41028
487.5 IPS |
|
|
Face Detection (Q)
|
100% |
53858
639.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7835
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94548
728.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
154649
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
20155
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244187
313.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295469
381.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4970
183.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50845
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79838
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3627
4.84 KIPS |
|
|
Text Classification (HP)
|
99% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9646
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10619
183.5 IPS |
