iPhone 13
Geekbench AI Score
3073
Single Precision Score
3615
Half Precision Score
3225
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1202
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
1242
231.0 IPS |
|
|
Image Classification (Q)
|
96% |
1123
209.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2175
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8752
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10261
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9029
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (Q)
|
92% |
1361
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
4648
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
4564
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8113
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8136
62.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5924
46.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14202
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15934
20.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13999
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3039
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4278
158.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3368
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
2484
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4175
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
886
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
766
13.2 IPS |
