iPhone 13
Geekbench AI Score
3037
Single Precision Score
5493
Half Precision Score
4448
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:14 AM |
| Views | 1 |
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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.5 IPS |
|
|
Image Classification (Q)
|
96% |
1672
312.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2391
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5693
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13163
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11028
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
97% |
2532
201.6 IPS |
|
|
Object Detection (Q)
|
94% |
1765
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5284
62.8 IPS |
|
|
Face Detection (Q)
|
100% |
2937
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4894
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10125
78.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7067
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15412
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25079
32.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20496
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3429
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4653
171.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3460
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4163
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6181
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6367
110.0 IPS |
