iPhone 16 Pro
Geekbench AI Score
4383
Single Precision Score
32836
Half Precision Score
46019
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:38 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
15310
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20965
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18128
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24005
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8120
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
153630
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292820
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.7 IPS |
|
|
Object Detection (HP)
|
100% |
16490
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22732
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
41180
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
58661
697.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7533
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95353
734.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
163179
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
22997
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
245050
315.0 IPS |
|
|
Style Transfer (Q)
|
96% |
305265
393.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52364
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85558
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4382
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4407
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3856
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9388
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11543
199.5 IPS |
