iPhone 13
Geekbench AI Score
3121
Single Precision Score
20285
Half Precision Score
23020
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Audiostetics |
| Upload Date | August 19 2025 12:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
8270
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
9002
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13507
219.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14001
227.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5798
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
89098
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
96995
113.7 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
99% |
10412
828.2 IPS |
|
|
Object Detection (Q)
|
91% |
12682
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28462
338.2 IPS |
|
|
Face Detection (Q)
|
100% |
36505
433.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5065
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57021
439.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
82238
642.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15588
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
170139
218.7 IPS |
|
|
Style Transfer (Q)
|
96% |
165831
214.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3541
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27301
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30544
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2440
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3586
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6189
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7194
124.3 IPS |
