iPhone 16 Pro
Geekbench AI Score
6036
Single Precision Score
7033
Half Precision Score
6687
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 08:52 AM |
| Views | 1 |
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% |
2999
557.7 IPS |
|
|
Image Classification (HP)
|
100% |
2685
499.4 IPS |
|
|
Image Classification (Q)
|
96% |
3080
575.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4411
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4912
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4714
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15483
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16273
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
15873
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3343
265.2 IPS |
|
|
Object Detection (HP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (Q)
|
92% |
3134
250.1 IPS |
|
|
Face Detection (SP)
|
100% |
7613
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
10574
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
8555
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13340
102.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14430
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13423
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32987
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39448
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37491
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8072
298.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8445
311.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7569
279.5 IPS |
|
|
Text Classification (SP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5862
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5822
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.5 IPS |
