iPhone 13
Geekbench AI Score
3238
Single Precision Score
5620
Half Precision Score
4611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 01:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1320
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
2258
420.0 IPS |
|
|
Image Classification (Q)
|
96% |
1583
295.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14266
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11920
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
2622
208.8 IPS |
|
|
Object Detection (Q)
|
94% |
1891
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5557
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3138
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5248
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10366
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7251
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17073
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27784
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22830
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3606
133.2 IPS |
|
|
Text Classification (SP)
|
100% |
2418
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4250
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3675
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6255
108.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6250
108.0 IPS |
