iPhone 14 Pro
Geekbench AI Score
3506
Single Precision Score
17574
Half Precision Score
19552
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | BlueSkyXN |
| Upload Date | August 16 2024 01:08 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
10139
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
11518
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9980
161.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
10432
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6666
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
91064
106.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
96658
113.4 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
100% |
12205
968.1 IPS |
|
|
Object Detection (Q)
|
91% |
14672
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
18803
223.4 IPS |
|
|
Face Detection (Q)
|
100% |
30002
356.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6122
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
61464
473.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
68135
526.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18519
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
128289
164.9 IPS |
|
|
Style Transfer (Q)
|
100% |
133371
171.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31774
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
36506
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2041
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3464
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2366
40.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2359
40.8 IPS |
