iPhone 13
Geekbench AI Score
3196
Single Precision Score
19649
Half Precision Score
22277
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1337
248.7 IPS |
|
|
Image Classification (HP)
|
100% |
8135
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
9580
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13289
215.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15120
245.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
86608
101.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
94391
110.6 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
99% |
10409
828.0 IPS |
|
|
Object Detection (Q)
|
91% |
11513
919.9 IPS |
|
|
Face Detection (SP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
28714
341.2 IPS |
|
|
Face Detection (Q)
|
100% |
35391
420.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5175
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56558
435.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
73621
575.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16837
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150802
193.9 IPS |
|
|
Style Transfer (Q)
|
96% |
153451
198.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26006
960.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29396
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2218
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7336
126.8 IPS |
