iPhone 13
Geekbench AI Score
3133
Single Precision Score
20108
Half Precision Score
22794
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 06:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1262
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
8570
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
10811
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13529
219.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13780
223.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
77291
90.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
82622
96.8 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
99% |
11114
884.1 IPS |
|
|
Object Detection (Q)
|
91% |
12228
977.1 IPS |
|
|
Face Detection (SP)
|
100% |
2661
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
28531
339.0 IPS |
|
|
Face Detection (Q)
|
100% |
36616
435.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5128
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51768
398.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
78208
611.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16611
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
154294
198.3 IPS |
|
|
Style Transfer (Q)
|
96% |
147213
190.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28620
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30087
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2573
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2469
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2613
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3424
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6741
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7591
131.2 IPS |
