iPhone 13
Geekbench AI Score
3184
Single Precision Score
5736
Half Precision Score
4687
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | November 01 2025 07:03 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
2421
450.2 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2471
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
14427
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12177
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1950
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5591
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3195
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5231
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10514
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7443
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27140
34.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22461
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4792
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3645
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3471
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6527
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6558
113.3 IPS |
