iPhone 16 Pro
Geekbench AI Score
6121
Single Precision Score
7109
Half Precision Score
6675
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mariusfanu |
| Upload Date | April 19 2025 12:26 PM |
| Views | 10 |
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% |
2891
537.7 IPS |
|
|
Image Classification (HP)
|
100% |
2957
550.0 IPS |
|
|
Image Classification (Q)
|
96% |
3147
587.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4515
73.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4924
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4732
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15670
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16397
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16016
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
3213
254.8 IPS |
|
|
Object Detection (HP)
|
100% |
3677
291.6 IPS |
|
|
Object Detection (Q)
|
92% |
3065
244.7 IPS |
|
|
Face Detection (SP)
|
100% |
7713
91.6 IPS |
|
|
Face Detection (HP)
|
100% |
10666
126.7 IPS |
|
|
Face Detection (Q)
|
100% |
8544
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13483
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14415
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
13233
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33357
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37678
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36908
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8123
299.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8467
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7608
280.9 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1273
22.0 IPS |
