iPhone 16 Pro
Geekbench AI Score
4569
Single Precision Score
7798
Half Precision Score
6197
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | January 22 2025 07:23 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
3365
625.7 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8920
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18252
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15336
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.1 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7499
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4209
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7791
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14252
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9908
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24255
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37739
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30654
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6060
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3853
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7090
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7094
122.6 IPS |
