iPhone 14
Geekbench AI Score
3350
Single Precision Score
15713
Half Precision Score
17953
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
8472
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
9243
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7059
114.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7488
121.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6592
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
83762
97.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
92824
108.8 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
99% |
10294
818.9 IPS |
|
|
Object Detection (Q)
|
91% |
11362
907.9 IPS |
|
|
Face Detection (SP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
24446
290.5 IPS |
|
|
Face Detection (Q)
|
100% |
32012
380.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5592
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52303
403.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
72537
566.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17881
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
148998
191.5 IPS |
|
|
Style Transfer (Q)
|
96% |
148094
191.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25663
947.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28574
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2427
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1618
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2184
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2221
38.4 IPS |
