iPhone 16 Pro
Geekbench AI Score
4628
Single Precision Score
33267
Half Precision Score
46723
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 06:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
15854
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
20926
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18357
297.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23716
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8521
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
146876
171.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292039
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2311
183.3 IPS |
|
|
Object Detection (HP)
|
100% |
16216
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22975
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
40802
484.8 IPS |
|
|
Face Detection (Q)
|
100% |
57541
683.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8244
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96498
743.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163030
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20590
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245585
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301803
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50101
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84614
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4857
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4311
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10180
175.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11434
197.6 IPS |
