iPhone 16 Pro
Geekbench AI Score
4711
Single Precision Score
32926
Half Precision Score
46452
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 01:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
15163
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19853
3.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18298
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24331
394.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154660
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
295030
345.8 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
16340
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22988
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3759
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
41225
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
57261
680.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8203
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95562
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
161685
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25180
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244338
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303955
392.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5940
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52921
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87539
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4376
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5016
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9583
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11556
199.7 IPS |
