iPhone 14
Geekbench AI Score
3007
Single Precision Score
3497
Half Precision Score
3076
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 02:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
772
143.6 IPS |
|
|
Image Classification (HP)
|
100% |
1110
206.4 IPS |
|
|
Image Classification (Q)
|
97% |
971
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2433
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11217
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12319
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11333
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1285
102.0 IPS |
|
|
Object Detection (HP)
|
100% |
1206
95.7 IPS |
|
|
Object Detection (Q)
|
91% |
886
70.8 IPS |
|
|
Face Detection (SP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
6117
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
3719
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8149
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8484
65.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7129
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18944
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23004
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21410
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3345
123.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3816
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (HP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (Q)
|
98% |
361
6.24 IPS |
