iPhone 13
Geekbench AI Score
3121
Single Precision Score
5525
Half Precision Score
4370
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 13 2025 01:12 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2409
448.0 IPS |
|
|
Image Classification (Q)
|
96% |
1667
311.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2288
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5430
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
12718
14.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8709
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.0 IPS |
|
|
Object Detection (HP)
|
97% |
2590
206.2 IPS |
|
|
Object Detection (Q)
|
94% |
1820
145.1 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5253
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
2967
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5109
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10113
78.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7107
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16249
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26497
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21447
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3618
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2460
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3639
62.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6364
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6480
112.0 IPS |
