iPhone 16
Geekbench AI Score
4272
Single Precision Score
32703
Half Precision Score
44748
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:15 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% |
1948
362.3 IPS |
|
|
Image Classification (HP)
|
100% |
15364
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
20515
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18142
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23758
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8255
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
149861
174.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293994
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.8 IPS |
|
|
Object Detection (HP)
|
100% |
16410
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22480
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
40559
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
56211
667.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7441
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95366
734.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161600
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22269
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244522
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302775
390.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49890
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84917
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4513
6.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9587
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11687
202.0 IPS |
