iPhone 16 Pro
Geekbench AI Score
4403
Single Precision Score
33157
Half Precision Score
46563
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 05:43 PM |
| Views | 3 |
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% |
2002
372.3 IPS |
|
|
Image Classification (HP)
|
100% |
15752
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
20966
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1933
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18272
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23649
383.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8167
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
145864
170.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
282554
331.2 IPS |
|
|
Object Detection (SP)
|
100% |
2087
165.5 IPS |
|
|
Object Detection (HP)
|
100% |
16481
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22763
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
41290
490.6 IPS |
|
|
Face Detection (Q)
|
100% |
59280
704.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7398
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95632
736.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162297
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22717
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
244619
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
304603
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5469
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51351
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85912
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4948
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9460
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11548
199.6 IPS |
