iPhone 13
Geekbench AI Score
3053
Single Precision Score
5574
Half Precision Score
4505
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1238
230.3 IPS |
|
|
Image Classification (HP)
|
100% |
2395
445.4 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2402
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
13513
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11256
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.3 IPS |
|
|
Object Detection (HP)
|
97% |
2619
208.5 IPS |
|
|
Object Detection (Q)
|
94% |
1904
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5411
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
2997
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4964
38.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10288
79.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7093
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16025
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25387
32.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20620
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3435
126.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4664
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2548
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4196
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4185
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6354
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6267
108.3 IPS |
