iPhone 13
Geekbench AI Score
3145
Single Precision Score
5547
Half Precision Score
4466
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 08:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1354
251.8 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.4 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2399
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6037
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
13307
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11018
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.4 IPS |
|
|
Object Detection (HP)
|
97% |
2584
205.7 IPS |
|
|
Object Detection (Q)
|
94% |
1825
145.5 IPS |
|
|
Face Detection (SP)
|
100% |
2668
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5336
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
2977
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4939
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10232
79.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7008
54.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16085
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26262
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21239
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3519
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4231
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6068
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6106
105.5 IPS |
