iPhone 16 Pro
Geekbench AI Score
4527
Single Precision Score
32798
Half Precision Score
45989
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | January 22 2025 09:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
15614
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20700
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18170
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24117
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8641
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153023
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292851
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
16133
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22507
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3599
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
40560
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
58155
691.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7774
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95148
733.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159864
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23900
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244291
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
301635
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5680
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50493
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83781
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4704
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9186
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11334
195.9 IPS |
