iPhone 13
Geekbench AI Score
3201
Single Precision Score
19959
Half Precision Score
22921
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | nugaetechnicae |
| Upload Date | April 07 2025 01:20 PM |
| Views | 8 |
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% |
1333
247.9 IPS |
|
|
Image Classification (HP)
|
100% |
8463
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
10043
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13160
213.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
15621
253.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
94706
110.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
96343
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
99% |
10271
817.1 IPS |
|
|
Object Detection (Q)
|
91% |
12111
967.7 IPS |
|
|
Face Detection (SP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
28533
339.0 IPS |
|
|
Face Detection (Q)
|
100% |
35527
422.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5179
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56956
438.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
73846
577.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16901
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
168021
216.0 IPS |
|
|
Style Transfer (Q)
|
96% |
173847
224.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29417
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28301
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2358
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6283
108.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7184
124.1 IPS |
