iPhone 12 Pro
Geekbench AI Score
1404
Single Precision Score
6773
Half Precision Score
6918
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | August 16 2024 03:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
563
104.8 IPS |
|
|
Image Classification (HP)
|
100% |
2698
501.8 IPS |
|
|
Image Classification (Q)
|
99% |
3044
567.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3155
51.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3150
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
32708
38.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
32561
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (HP)
|
99% |
3348
266.3 IPS |
|
|
Object Detection (Q)
|
91% |
3140
250.9 IPS |
|
|
Face Detection (SP)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
6623
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
6696
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2285
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22704
174.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
23523
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7066
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
60155
77.3 IPS |
|
|
Style Transfer (Q)
|
100% |
63447
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11661
430.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12027
445.6 IPS |
|
|
Text Classification (SP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1977
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1078
18.6 IPS |
