iPhone 13
Geekbench AI Score
2867
Single Precision Score
3300
Half Precision Score
3009
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 15 2025 03:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
563
104.7 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
96% |
893
166.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2266
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9208
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
10309
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9902
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
92% |
746
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
4423
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4969
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
3698
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7606
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6840
52.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6440
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16474
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19380
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18668
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2778
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2923
107.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2530
93.4 IPS |
|
|
Text Classification (SP)
|
100% |
2569
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4200
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4107
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
883
15.3 IPS |
