iPhone 13
Geekbench AI Score
3273
Single Precision Score
5723
Half Precision Score
4664
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | BestNoob |
| Upload Date | May 09 2025 08:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1985
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6652
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
14313
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12154
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1439
114.2 IPS |
|
|
Object Detection (HP)
|
97% |
2700
214.9 IPS |
|
|
Object Detection (Q)
|
94% |
1934
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3196
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10531
81.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7283
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17275
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27810
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22577
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4195
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4313
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6274
108.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6332
109.4 IPS |
