iPhone 13
Geekbench AI Score
3225
Single Precision Score
5598
Half Precision Score
4440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | April 01 2025 12:13 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.3 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6271
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
13620
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11539
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
1914
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2675
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3149
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5352
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11048
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6041
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16978
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25525
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21852
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3814
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3456
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4208
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5639
97.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5619
97.1 IPS |
