iPhone 16
Geekbench AI Score
3938
Single Precision Score
32452
Half Precision Score
45567
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 20 2025 10:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.4 IPS |
|
|
Image Classification (HP)
|
100% |
15593
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20594
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18163
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23885
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7135
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
134911
157.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
284284
333.2 IPS |
|
|
Object Detection (SP)
|
100% |
2086
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
16446
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22658
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
37804
449.2 IPS |
|
|
Face Detection (Q)
|
100% |
56407
670.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6709
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95106
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159433
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
14968
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
241881
310.9 IPS |
|
|
Style Transfer (Q)
|
96% |
305000
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4254
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48783
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84254
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4762
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4640
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10206
175.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11360
196.3 IPS |
