iPhone 16 Pro
Geekbench AI Score
5722
Single Precision Score
6770
Half Precision Score
5966
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 06 2025 05:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2984
554.9 IPS |
|
|
Image Classification (HP)
|
100% |
2706
503.1 IPS |
|
|
Image Classification (Q)
|
97% |
2804
523.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3527
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4416
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4376
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15734
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16496
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15519
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3271
259.4 IPS |
|
|
Object Detection (HP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (Q)
|
91% |
2808
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
7654
91.0 IPS |
|
|
Face Detection (HP)
|
100% |
10665
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
7157
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13407
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14319
110.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12165
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32714
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39577
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34876
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8160
301.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8456
312.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6722
248.2 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5935
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5928
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
741
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
