iPhone 16 Pro
Geekbench AI Score
6201
Single Precision Score
7060
Half Precision Score
6778
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 01:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3180
591.4 IPS |
|
|
Image Classification (HP)
|
100% |
2735
508.5 IPS |
|
|
Image Classification (Q)
|
96% |
3079
575.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4958
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4811
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15762
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16377
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
15949
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
3250
257.8 IPS |
|
|
Object Detection (HP)
|
100% |
3564
282.7 IPS |
|
|
Object Detection (Q)
|
92% |
3371
269.1 IPS |
|
|
Face Detection (SP)
|
100% |
7730
91.8 IPS |
|
|
Face Detection (HP)
|
100% |
10895
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
8679
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13523
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14527
111.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
13489
105.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33014
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39743
51.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38560
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8195
302.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8583
316.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7671
283.3 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1264
21.8 IPS |
