iPhone 16 Pro
Geekbench AI Score
6120
Single Precision Score
7002
Half Precision Score
6763
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bigguswiggus |
| Upload Date | April 04 2025 03:24 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2977
553.6 IPS |
|
|
Image Classification (HP)
|
100% |
2723
506.3 IPS |
|
|
Image Classification (Q)
|
96% |
3138
586.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4353
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4889
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4742
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15651
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16406
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15927
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3200
253.8 IPS |
|
|
Object Detection (HP)
|
100% |
3477
275.8 IPS |
|
|
Object Detection (Q)
|
92% |
3407
272.0 IPS |
|
|
Face Detection (SP)
|
100% |
7706
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10707
127.2 IPS |
|
|
Face Detection (Q)
|
100% |
8673
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13545
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14575
112.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
13422
104.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33079
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37466
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
37979
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8088
298.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8470
312.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7560
279.1 IPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5825
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1206
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1275
22.0 IPS |
