iPhone 13
Geekbench AI Score
3047
Single Precision Score
19762
Half Precision Score
22007
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
7689
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
10271
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12906
209.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13338
216.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5572
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
76987
89.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
92422
108.3 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
99% |
10238
814.4 IPS |
|
|
Object Detection (Q)
|
91% |
11231
897.4 IPS |
|
|
Face Detection (SP)
|
100% |
2521
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
28287
336.1 IPS |
|
|
Face Detection (Q)
|
100% |
35863
426.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4815
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56895
438.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
62462
488.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14629
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
154867
199.1 IPS |
|
|
Style Transfer (Q)
|
96% |
155317
200.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3541
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29643
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29614
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2581
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2612
3.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2605
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6019
103.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.7 IPS |
