iPhone 13
Geekbench AI Score
3069
Single Precision Score
5641
Half Precision Score
4565
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | SpideRaY |
| Upload Date | December 15 2025 02:24 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1250
232.5 IPS |
|
|
Image Classification (HP)
|
100% |
2395
445.4 IPS |
|
|
Image Classification (Q)
|
96% |
1679
313.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2389
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5593
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
13545
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11279
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2613
208.0 IPS |
|
|
Object Detection (Q)
|
94% |
1831
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3043
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5021
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10451
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7189
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15981
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25813
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21359
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3490
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3596
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4370
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4379
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3394
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6375
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6458
111.6 IPS |
