iPhone 16
Geekbench AI Score
4291
Single Precision Score
32933
Half Precision Score
45783
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 06:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1937
360.3 IPS |
|
|
Image Classification (HP)
|
100% |
15199
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21170
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18185
294.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23758
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8348
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
152754
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
294037
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
16263
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22610
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3281
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
39785
472.7 IPS |
|
|
Face Detection (Q)
|
100% |
54619
649.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7458
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95009
732.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161352
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22021
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244455
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
305514
394.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5294
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50504
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85514
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3435
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4866
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4531
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9627
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11600
200.5 IPS |
