iPhone 16 Pro
Geekbench AI Score
5818
Single Precision Score
6747
Half Precision Score
6115
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | TZBQWEAS |
| Upload Date | March 21 2025 03:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2954
549.3 IPS |
|
|
Image Classification (HP)
|
100% |
2713
504.5 IPS |
|
|
Image Classification (Q)
|
97% |
2833
528.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4412
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4370
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15726
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16500
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15752
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3352
265.8 IPS |
|
|
Object Detection (HP)
|
100% |
3509
278.3 IPS |
|
|
Object Detection (Q)
|
91% |
3111
248.6 IPS |
|
|
Face Detection (SP)
|
100% |
7925
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
10729
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
7177
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13723
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14436
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12384
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33121
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39595
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35383
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8029
296.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8442
311.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6838
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5841
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5992
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
936
16.2 IPS |
