iPhone 13
Geekbench AI Score
3127
Single Precision Score
20466
Half Precision Score
22998
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Seele |
| Upload Date | September 17 2025 06:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
9194
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
10746
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13379
216.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15113
245.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5847
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
80820
94.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
94282
110.5 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
99% |
10829
861.4 IPS |
|
|
Object Detection (Q)
|
91% |
12006
959.3 IPS |
|
|
Face Detection (SP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
28481
338.4 IPS |
|
|
Face Detection (Q)
|
100% |
36104
429.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
59724
460.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
79031
617.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16377
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
147851
190.1 IPS |
|
|
Style Transfer (Q)
|
96% |
139356
179.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3547
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28431
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29643
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2501
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6698
115.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7737
133.7 IPS |
