iPhone 16 Pro
Geekbench AI Score
4755
Single Precision Score
32950
Half Precision Score
43954
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 03:47 AM |
| Views | 5 |
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% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
15188
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20749
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18654
302.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24186
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9579
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153744
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292505
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2382
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
16130
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22465
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
4045
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
41191
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58193
691.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8391
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95356
734.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
158313
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21303
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245023
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301550
389.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51799
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84188
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3380
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4350
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3225
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9904
170.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10823
187.0 IPS |
