iPhone 16 Pro
Geekbench AI Score
4441
Single Precision Score
32553
Half Precision Score
45175
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 11:31 AM |
| 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% |
1973
367.0 IPS |
|
|
Image Classification (HP)
|
100% |
15199
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19332
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18141
294.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24079
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8359
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
148934
173.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293064
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.0 IPS |
|
|
Object Detection (HP)
|
100% |
16144
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22304
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
41271
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
57274
680.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7738
59.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
94763
730.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159771
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23643
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245706
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301443
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5318
196.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50356
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84873
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4364
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4400
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9546
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11294
195.2 IPS |
