iPhone 13
Geekbench AI Score
3024
Single Precision Score
5547
Half Precision Score
4496
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 10:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2365
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5500
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
13118
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11022
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.3 IPS |
|
|
Object Detection (HP)
|
97% |
2586
205.9 IPS |
|
|
Object Detection (Q)
|
94% |
1832
146.0 IPS |
|
|
Face Detection (SP)
|
100% |
2594
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5319
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
2999
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4941
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10340
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7085
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15720
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25366
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20844
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4668
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3537
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4250
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3373
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6394
110.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6492
112.2 IPS |
