iPhone 13
Geekbench AI Score
2850
Single Precision Score
3359
Half Precision Score
2952
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 20 2026 04:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (Q)
|
94% |
879
164.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2266
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9144
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10285
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9948
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
91% |
702
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
5331
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3435
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6619
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6688
51.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6580
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16569
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19437
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18942
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2715
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2755
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2482
91.6 IPS |
|
|
Text Classification (SP)
|
100% |
2589
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
835
14.4 IPS |
