iPhone 13
Geekbench AI Score
2919
Single Precision Score
3129
Half Precision Score
3059
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 03:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
965
179.4 IPS |
|
|
Image Classification (HP)
|
100% |
906
168.5 IPS |
|
|
Image Classification (Q)
|
96% |
858
160.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2310
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2195
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9304
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9657
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1149
91.1 IPS |
|
|
Object Detection (HP)
|
100% |
1053
83.5 IPS |
|
|
Object Detection (Q)
|
92% |
900
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
3292
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3236
38.4 IPS |
|
|
Face Detection (Q)
|
100% |
4042
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6633
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6455
49.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6351
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16675
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19407
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18546
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2554
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
2400
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4234
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4265
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
847
14.6 IPS |
