iPhone 13
Geekbench AI Score
1865
Single Precision Score
10669
Half Precision Score
12053
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 01:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
4997
929.4 IPS |
|
|
Image Classification (Q)
|
96% |
4730
883.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3745
60.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6759
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5155
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
70646
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
77524
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
960
76.2 IPS |
|
|
Object Detection (HP)
|
99% |
5450
433.5 IPS |
|
|
Object Detection (Q)
|
93% |
6922
552.3 IPS |
|
|
Face Detection (SP)
|
100% |
1616
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
10442
124.1 IPS |
|
|
Face Detection (Q)
|
100% |
12724
151.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2960
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
37515
289.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
45522
355.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9450
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
94772
121.8 IPS |
|
|
Style Transfer (Q)
|
95% |
82139
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2778
102.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13343
492.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15541
573.9 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2645
3.53 KIPS |
|
|
Text Classification (Q)
|
93% |
2543
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1359
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2025
34.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2007
34.7 IPS |
