iPhone 16 Pro
Geekbench AI Score
4599
Single Precision Score
33217
Half Precision Score
46084
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 09:34 AM |
| Views | 1 |
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% |
2079
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
15291
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20715
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18329
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24180
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8894
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151382
176.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
291153
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
16258
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23073
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3932
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
40934
486.4 IPS |
|
|
Face Detection (Q)
|
100% |
57145
679.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8068
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95262
733.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160803
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19981
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
245005
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300889
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50286
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85020
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4917
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4904
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10037
172.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11139
192.5 IPS |
