iPhone 13
Geekbench AI Score
3030
Single Precision Score
20055
Half Precision Score
23067
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1243
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
8773
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
11273
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12165
197.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14808
240.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5354
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
89323
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
96403
113.0 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
10868
864.6 IPS |
|
|
Object Detection (Q)
|
91% |
12090
966.1 IPS |
|
|
Face Detection (SP)
|
100% |
2622
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
26067
309.7 IPS |
|
|
Face Detection (Q)
|
100% |
34322
407.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4715
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58037
447.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
72321
565.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15425
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
155927
200.4 IPS |
|
|
Style Transfer (Q)
|
96% |
167039
215.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27716
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28871
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2482
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6279
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7381
127.5 IPS |
