iPhone 13
Geekbench AI Score
3000
Single Precision Score
5369
Half Precision Score
4318
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 28 2025 12:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (Q)
|
96% |
1603
299.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2191
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5248
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
12375
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10357
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
97% |
2489
198.2 IPS |
|
|
Object Detection (Q)
|
94% |
1781
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
5063
60.2 IPS |
|
|
Face Detection (Q)
|
100% |
2863
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4738
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9799
75.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6744
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15467
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25630
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20797
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4625
170.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3412
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2535
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4162
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6167
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6133
106.0 IPS |
