iPhone 16 Pro
Geekbench AI Score
4578
Single Precision Score
7800
Half Precision Score
6233
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 15 2025 11:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9120
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18493
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15623
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
97% |
3849
306.4 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7595
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4285
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7791
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14308
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9922
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24444
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37932
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31082
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6982
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5856
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7029
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7088
122.5 IPS |
