iPhone 13
Geekbench AI Score
3042
Single Precision Score
5570
Half Precision Score
4507
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 16 2025 03:12 PM |
| Views | 5 |
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% |
1277
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
2418
449.7 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2399
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5593
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
13250
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11092
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1263
100.1 IPS |
|
|
Object Detection (HP)
|
97% |
2617
208.3 IPS |
|
|
Object Detection (Q)
|
94% |
1855
147.9 IPS |
|
|
Face Detection (SP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
2968
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4999
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10331
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7082
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15632
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25284
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20674
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3418
126.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4706
173.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3505
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4315
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4309
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3342
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6307
109.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6402
110.6 IPS |
