iPhone 16 Pro
Geekbench AI Score
6140
Single Precision Score
7041
Half Precision Score
6803
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 11:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3029
563.2 IPS |
|
|
Image Classification (HP)
|
100% |
2637
490.5 IPS |
|
|
Image Classification (Q)
|
96% |
3110
580.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4718
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15731
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17078
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17077
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
3448
273.5 IPS |
|
|
Object Detection (Q)
|
92% |
3179
253.7 IPS |
|
|
Face Detection (SP)
|
100% |
7611
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10838
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
8684
103.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13519
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15003
115.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
14050
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33297
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39105
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38339
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8074
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8274
305.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7604
280.8 IPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5874
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1285
22.2 IPS |
