iPhone 13
Geekbench AI Score
3210
Single Precision Score
5642
Half Precision Score
4578
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1346
250.3 IPS |
|
|
Image Classification (HP)
|
100% |
2399
446.1 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2426
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6094
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
13919
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11524
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2666
212.3 IPS |
|
|
Object Detection (Q)
|
94% |
1902
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5391
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3067
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10383
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7291
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16475
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26973
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21997
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4738
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3577
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4030
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6468
111.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6428
111.1 IPS |
