iPhone 14 Pro
Geekbench AI Score
3492
Single Precision Score
22772
Half Precision Score
26596
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 03:06 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1431
266.2 IPS |
|
|
Image Classification (HP)
|
100% |
9737
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
11854
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13825
224.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19205
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6579
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
95609
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105480
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
12672
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14697
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
31961
379.8 IPS |
|
|
Face Detection (Q)
|
100% |
40954
486.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5995
46.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75071
578.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
95841
749.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18380
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
179321
230.5 IPS |
|
|
Style Transfer (Q)
|
96% |
176460
227.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4039
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33545
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37528
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2699
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2292
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7599
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8424
145.6 IPS |
