iPhone 16
Geekbench AI Score
4361
Single Precision Score
7478
Half Precision Score
5958
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 12:25 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
3242
602.8 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1813
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3274
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8600
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18105
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15233
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2105
166.9 IPS |
|
|
Object Detection (HP)
|
97% |
3712
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2620
208.8 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
6964
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
4042
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7640
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14023
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9683
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23236
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37398
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30104
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5396
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6775
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4850
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3590
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5910
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5894
101.9 IPS |
