iPhone 16
Geekbench AI Score
3564
Single Precision Score
28585
Half Precision Score
38198
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 11:48 AM |
| Views | 3 |
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% |
1648
306.5 IPS |
|
|
Image Classification (HP)
|
100% |
12667
2.36 KIPS |
|
|
Image Classification (Q)
|
97% |
16162
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15303
248.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20219
327.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7880
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
121681
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
233850
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.5 IPS |
|
|
Object Detection (HP)
|
100% |
13876
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17435
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
31871
378.7 IPS |
|
|
Face Detection (Q)
|
100% |
42516
505.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6687
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83214
641.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
134244
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
18283
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202832
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
251335
324.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41890
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62744
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2720
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
4583
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4596
6.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2239
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10777
185.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12000
207.4 IPS |
