iPhone 13
Geekbench AI Score
3257
Single Precision Score
19739
Half Precision Score
22021
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
7866
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
10501
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13598
220.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15373
249.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6199
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
83919
97.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
84634
99.2 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.8 IPS |
|
|
Object Detection (HP)
|
99% |
10549
839.1 IPS |
|
|
Object Detection (Q)
|
91% |
11870
948.4 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
28550
339.2 IPS |
|
|
Face Detection (Q)
|
100% |
36310
431.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5273
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58231
448.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
69154
540.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16957
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
150881
194.0 IPS |
|
|
Style Transfer (Q)
|
96% |
141044
182.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26857
991.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27929
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2320
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3734
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7206
124.5 IPS |
