iPhone 16 Pro
Geekbench AI Score
4685
Single Precision Score
7892
Half Precision Score
6288
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 12:43 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1988
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9499
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18690
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15948
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7650
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4259
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8250
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14446
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10045
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20694
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37942
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31065
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5613
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7366
272.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5196
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5871
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7414
128.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7413
128.1 IPS |
