iPhone 13
Geekbench AI Score
2985
Single Precision Score
5507
Half Precision Score
4423
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 05:15 AM |
| Views | 4 |
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% |
1240
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.6 IPS |
|
|
Image Classification (Q)
|
96% |
1600
298.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2351
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5311
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
12750
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10881
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (HP)
|
97% |
2565
204.2 IPS |
|
|
Object Detection (Q)
|
94% |
1781
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2553
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5253
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
2924
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4817
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10128
78.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6918
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15420
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25127
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20574
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3391
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4372
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
4332
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6375
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6338
109.5 IPS |
