iPhone 16 Pro
Geekbench AI Score
4061
Single Precision Score
32238
Half Precision Score
41817
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 01:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
15174
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
9958
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18341
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24192
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7230
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
140083
163.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
271833
318.6 IPS |
|
|
Object Detection (SP)
|
100% |
1646
130.6 IPS |
|
|
Object Detection (HP)
|
100% |
16451
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22626
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
41195
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57343
681.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7204
55.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
90129
694.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
142359
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
20497
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244551
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300732
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5064
187.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50020
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84703
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4429
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4635
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9400
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11451
197.9 IPS |
