iPhone 13
Geekbench AI Score
3136
Single Precision Score
5541
Half Precision Score
4459
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 11:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2379
442.3 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2375
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5828
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13131
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10945
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
97% |
2575
205.0 IPS |
|
|
Object Detection (Q)
|
94% |
1823
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
5343
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
2953
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5175
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10312
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7075
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15981
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26525
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21150
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3488
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4274
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4248
5.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3516
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5974
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6141
106.1 IPS |
