iPhone 16 Pro
Geekbench AI Score
4748
Single Precision Score
33440
Half Precision Score
46264
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | May 26 2025 02:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
15907
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
20335
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18323
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24141
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9697
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154964
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
293927
344.5 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
16741
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23202
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
42314
502.8 IPS |
|
|
Face Detection (Q)
|
100% |
59785
710.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96413
742.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162329
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21306
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
247448
318.1 IPS |
|
|
Style Transfer (Q)
|
96% |
305014
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51694
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87831
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4315
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4455
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10272
176.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11586
200.2 IPS |
