iPhone SE (3rd generation)
Geekbench AI Score
2203
Single Precision Score
2420
Half Precision Score
2120
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 08:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone SE (3rd generation) |
| Model ID | iPhone14,6 |
| Motherboard | D49AP |
| 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 | 3.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (HP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (Q)
|
99% |
842
157.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1994
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9053
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9675
11.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8893
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
881
69.8 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
92% |
788
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
3255
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7163
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7861
60.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
7933
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16191
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19014
24.4 IPS |
|
|
Style Transfer (Q)
|
100% |
18847
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2978
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2859
105.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2313
85.7 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.0 IPS |
|
|
Text Classification (HP)
|
100% |
352
469.7 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.1 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
683
11.8 IPS |
