iPhone 16 Pro
Geekbench AI Score
6035
Single Precision Score
6900
Half Precision Score
6662
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | iClondike |
| Upload Date | July 31 2025 04:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2936
546.1 IPS |
|
|
Image Classification (HP)
|
100% |
2313
430.1 IPS |
|
|
Image Classification (Q)
|
96% |
2994
559.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4336
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4812
78.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4616
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15198
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
16511
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16413
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
3126
247.9 IPS |
|
|
Object Detection (HP)
|
100% |
3436
272.5 IPS |
|
|
Object Detection (Q)
|
92% |
3113
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
7623
90.6 IPS |
|
|
Face Detection (HP)
|
100% |
10582
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
8292
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13237
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15028
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13621
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32379
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40056
51.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38234
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7853
290.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8143
300.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7526
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5896
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.1 IPS |
