iPhone 16 Pro
Geekbench AI Score
5844
Single Precision Score
6690
Half Precision Score
6100
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 19 2025 07:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.5 IPS |
|
|
Image Classification (Q)
|
97% |
2762
515.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3520
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4468
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4439
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15655
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16363
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15542
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3358
266.4 IPS |
|
|
Object Detection (HP)
|
100% |
3621
287.2 IPS |
|
|
Object Detection (Q)
|
91% |
3007
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
7913
94.0 IPS |
|
|
Face Detection (HP)
|
100% |
10810
128.4 IPS |
|
|
Face Detection (Q)
|
100% |
7253
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13385
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14545
112.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12621
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32975
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37950
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
35972
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8057
297.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8490
313.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6907
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5865
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5895
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
860
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
