iPhone 13
Geekbench AI Score
3019
Single Precision Score
5550
Half Precision Score
4472
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 04:12 PM |
| 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% |
1268
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.8 IPS |
|
|
Image Classification (Q)
|
96% |
1665
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2370
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5522
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
13227
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11135
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.9 IPS |
|
|
Object Detection (HP)
|
97% |
2548
202.8 IPS |
|
|
Object Detection (Q)
|
94% |
1809
144.2 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
5257
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
2947
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4910
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10208
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6986
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15835
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25254
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20752
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3413
126.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4669
172.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2549
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4313
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6458
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6251
108.0 IPS |
