iPhone 13
Geekbench AI Score
2750
Single Precision Score
3286
Half Precision Score
3018
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
534
99.3 IPS |
|
|
Image Classification (HP)
|
100% |
980
182.3 IPS |
|
|
Image Classification (Q)
|
96% |
577
107.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2307
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2246
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9366
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10400
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10089
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (HP)
|
100% |
1007
79.8 IPS |
|
|
Object Detection (Q)
|
92% |
948
75.7 IPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
4879
58.0 IPS |
|
|
Face Detection (Q)
|
100% |
3897
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6667
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6809
52.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6622
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16544
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19469
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
19244
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2905
107.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2660
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4221
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
910
15.7 IPS |
