iPhone 13
Geekbench AI Score
3177
Single Precision Score
19321
Half Precision Score
21849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 28 2025 09:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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
250.1 IPS |
|
|
Image Classification (HP)
|
100% |
7959
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
8842
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12762
206.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14918
241.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5902
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
89300
104.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
93658
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
10735
854.0 IPS |
|
|
Object Detection (Q)
|
91% |
11943
954.3 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
25784
306.4 IPS |
|
|
Face Detection (Q)
|
100% |
32997
392.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5283
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51453
396.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74845
584.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16797
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150092
192.9 IPS |
|
|
Style Transfer (Q)
|
96% |
154752
199.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27650
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27290
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2206
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3447
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6131
105.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6720
116.1 IPS |
