iPhone 16 Pro
Geekbench AI Score
4702
Single Precision Score
7903
Half Precision Score
6301
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
3366
625.9 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9646
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19231
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16401
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2226
176.6 IPS |
|
|
Object Detection (HP)
|
97% |
3864
307.7 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7738
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4320
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8146
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14687
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10167
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24915
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37972
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31237
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5007
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5871
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7150
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7140
123.4 IPS |
