iPhone 16 Pro
Geekbench AI Score
5864
Single Precision Score
7083
Half Precision Score
6601
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bhealey |
| Upload Date | May 29 2025 02:19 AM |
| Views | 5 |
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% |
2907
540.7 IPS |
|
|
Image Classification (HP)
|
100% |
2903
539.8 IPS |
|
|
Image Classification (Q)
|
96% |
3047
568.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4355
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4835
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4660
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15425
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16780
19.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16469
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
3119
247.4 IPS |
|
|
Object Detection (HP)
|
100% |
3398
269.5 IPS |
|
|
Object Detection (Q)
|
92% |
3088
246.5 IPS |
|
|
Face Detection (SP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
10544
125.3 IPS |
|
|
Face Detection (Q)
|
100% |
8485
100.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13179
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14564
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13527
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32470
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40161
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34240
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7923
292.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8550
315.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7506
277.2 IPS |
|
|
Text Classification (SP)
|
100% |
2679
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5895
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5985
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1233
21.3 IPS |
