iPhone 13
Geekbench AI Score
2880
Single Precision Score
5353
Half Precision Score
4311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sdfwbnee |
| Upload Date | November 05 2025 10:20 AM |
| Views | 2 |
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% |
1186
220.6 IPS |
|
|
Image Classification (HP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (Q)
|
96% |
1533
286.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2212
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4856
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
12298
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10284
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1165
92.4 IPS |
|
|
Object Detection (HP)
|
97% |
2527
201.2 IPS |
|
|
Object Detection (Q)
|
94% |
1763
140.5 IPS |
|
|
Face Detection (SP)
|
100% |
2526
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
5195
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
2856
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4820
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10010
77.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6871
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14625
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24766
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20254
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4268
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4261
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3312
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6269
108.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6225
107.6 IPS |
