iPhone 13
Geekbench AI Score
2972
Single Precision Score
5495
Half Precision Score
4412
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 11:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1257
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.5 IPS |
|
|
Image Classification (Q)
|
96% |
1605
299.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2294
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5258
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
12801
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10535
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (HP)
|
97% |
2553
203.3 IPS |
|
|
Object Detection (Q)
|
94% |
1803
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
5216
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
2913
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4850
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10238
79.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7019
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15631
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25315
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20543
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3418
126.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2507
3.35 KIPS |
|
|
Text Classification (HP)
|
99% |
4266
5.69 KIPS |
|
|
Text Classification (Q)
|
93% |
4272
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3330
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6313
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6386
110.4 IPS |
