iPhone 13
Geekbench AI Score
3173
Single Precision Score
19627
Half Precision Score
21875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 10:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1345
250.2 IPS |
|
|
Image Classification (HP)
|
100% |
9288
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
10017
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12363
200.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
13703
222.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5839
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
84661
98.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
93365
109.4 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
99% |
10749
855.1 IPS |
|
|
Object Detection (Q)
|
91% |
11283
901.5 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
25508
303.1 IPS |
|
|
Face Detection (Q)
|
100% |
32119
381.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5210
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55068
424.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
74208
579.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16277
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152577
196.1 IPS |
|
|
Style Transfer (Q)
|
96% |
153589
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3730
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26620
983.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28458
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6219
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7186
124.2 IPS |
