iPhone 14 Plus
Geekbench AI Score
1924
Single Precision Score
11367
Half Precision Score
11893
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPhone 14 Plus |
| Model ID | iPhone14,8 |
| Motherboard | D28AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
978
181.9 IPS |
|
|
Image Classification (HP)
|
100% |
5197
966.4 IPS |
|
|
Image Classification (Q)
|
99% |
5784
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3825
62.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3861
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5593
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
72812
85.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
69050
81.0 IPS |
|
|
Object Detection (SP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (HP)
|
99% |
6618
526.4 IPS |
|
|
Object Detection (Q)
|
93% |
7715
615.6 IPS |
|
|
Face Detection (SP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
10832
128.7 IPS |
|
|
Face Detection (Q)
|
100% |
12682
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3278
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37961
292.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
39060
302.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9590
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
116097
149.2 IPS |
|
|
Style Transfer (Q)
|
100% |
121686
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14981
553.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15134
560.7 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2497
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2474
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2110
36.5 IPS |
