iPhone 16 Pro
Geekbench AI Score
4680
Single Precision Score
32867
Half Precision Score
45018
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 01:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
15259
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20491
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18315
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24035
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9339
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153775
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292138
342.4 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
100% |
16106
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22442
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41167
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57528
683.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8246
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95287
734.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161748
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20621
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245637
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
302848
390.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5587
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50733
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83949
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4404
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4163
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9874
170.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10751
185.8 IPS |
