iPhone 16 Pro
Geekbench AI Score
6067
Single Precision Score
6694
Half Precision Score
2410
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Pom2Ter |
| Upload Date | March 03 2025 09:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2814
523.3 IPS |
|
|
Image Classification (HP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (Q)
|
97% |
2709
505.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4422
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4901
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4381
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15520
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16261
19.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
15379
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
3331
264.2 IPS |
|
|
Object Detection (HP)
|
100% |
3437
272.6 IPS |
|
|
Object Detection (Q)
|
92% |
2840
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
7847
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
10688
127.0 IPS |
|
|
Face Detection (Q)
|
100% |
7135
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13500
104.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14880
114.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
96.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33019
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37314
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
36290
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8024
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8167
301.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6815
251.6 IPS |
|
|
Text Classification (SP)
|
100% |
3324
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5812
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5707
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1269
21.9 IPS |
