iPhone 13
Geekbench AI Score
3041
Single Precision Score
5592
Half Precision Score
4495
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2361
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5661
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13313
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11150
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
97% |
2609
207.7 IPS |
|
|
Object Detection (Q)
|
94% |
1835
146.3 IPS |
|
|
Face Detection (SP)
|
100% |
2591
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
5356
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
2974
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5009
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10306
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7146
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15870
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25531
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20976
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3433
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4932
182.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3556
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6459
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6429
111.1 IPS |
