iPhone 13
Geekbench AI Score
3165
Single Precision Score
19999
Half Precision Score
22054
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 01:14 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% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
8706
1.62 KIPS |
|
|
Image Classification (Q)
|
96% |
10717
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13644
221.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15171
245.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5589
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
79349
92.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
94450
110.7 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
11060
879.8 IPS |
|
|
Object Detection (Q)
|
91% |
11468
916.4 IPS |
|
|
Face Detection (SP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
28102
333.9 IPS |
|
|
Face Detection (Q)
|
100% |
36510
433.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5086
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
53838
414.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
69114
540.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16534
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
154865
199.1 IPS |
|
|
Style Transfer (Q)
|
96% |
143281
184.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29016
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27201
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2352
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6120
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6684
115.5 IPS |
