iPhone 13
Geekbench AI Score
2981
Single Precision Score
5290
Half Precision Score
4243
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 03:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1240
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
2271
422.4 IPS |
|
|
Image Classification (Q)
|
96% |
1555
290.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2191
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5267
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
12043
14.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10177
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
97% |
2500
199.0 IPS |
|
|
Object Detection (Q)
|
94% |
1764
140.6 IPS |
|
|
Face Detection (SP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5109
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
2824
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4813
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9289
71.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6278
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14658
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24933
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20218
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3506
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4669
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3386
125.0 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4138
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6105
105.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6198
107.1 IPS |
