iPhone 13
Geekbench AI Score
3096
Single Precision Score
18173
Half Precision Score
19935
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 12:27 PM |
| Views | 3 |
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% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
7750
1.44 KIPS |
|
|
Image Classification (Q)
|
96% |
9448
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12736
206.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15247
247.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5677
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
79773
93.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
80378
94.2 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
10493
834.7 IPS |
|
|
Object Detection (Q)
|
91% |
11938
953.9 IPS |
|
|
Face Detection (SP)
|
100% |
2571
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
28143
334.4 IPS |
|
|
Face Detection (Q)
|
100% |
36271
431.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4887
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56563
435.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
64762
506.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16110
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
143250
184.1 IPS |
|
|
Style Transfer (Q)
|
96% |
135680
175.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29204
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27062
999.3 IPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (Q)
|
93% |
1183
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7029
121.5 IPS |
