iPhone 13
Geekbench AI Score
3133
Single Precision Score
5670
Half Precision Score
4625
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 11:52 AM |
| Views | 3 |
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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (Q)
|
96% |
1680
313.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2474
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5902
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
13909
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11704
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1289
102.2 IPS |
|
|
Object Detection (HP)
|
97% |
2623
208.9 IPS |
|
|
Object Detection (Q)
|
94% |
1904
151.7 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3089
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5130
39.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10526
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7303
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16637
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26256
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21622
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3595
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4959
183.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3598
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3405
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6362
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6576
113.6 IPS |
