iPhone 16 Pro
Geekbench AI Score
4543
Single Precision Score
33201
Half Precision Score
46801
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | September 08 2025 10:21 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
15119
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20070
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18362
297.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23807
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8599
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148854
173.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290659
340.7 IPS |
|
|
Object Detection (SP)
|
100% |
2325
184.4 IPS |
|
|
Object Detection (HP)
|
100% |
16302
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22757
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
40567
482.0 IPS |
|
|
Face Detection (Q)
|
100% |
56984
677.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8058
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94786
730.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161859
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
19424
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244892
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304435
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50636
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86757
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4997
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5636
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10142
174.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11619
200.8 IPS |
