iPhone 16 Pro
Geekbench AI Score
4828
Single Precision Score
32593
Half Precision Score
44653
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | April 03 2025 01:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2082
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
14989
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20414
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2002
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18228
295.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24203
392.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10107
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153746
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292514
342.8 IPS |
|
|
Object Detection (SP)
|
100% |
2398
190.2 IPS |
|
|
Object Detection (HP)
|
100% |
15982
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22041
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
4073
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
41190
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
56479
671.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8532
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95688
737.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
156971
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
22258
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244756
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
301087
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6149
227.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50139
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83421
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4228
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9775
168.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10509
181.6 IPS |
