iPhone 13
Geekbench AI Score
3310
Single Precision Score
20321
Half Precision Score
22490
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Audiostetics |
| Upload Date | August 21 2025 06:38 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
8783
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
9131
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13088
212.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14368
232.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6430
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
93508
109.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
93402
109.5 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
99% |
11020
876.6 IPS |
|
|
Object Detection (Q)
|
91% |
12615
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
28485
338.5 IPS |
|
|
Face Detection (Q)
|
100% |
35867
426.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5341
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
56616
436.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
74135
579.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17146
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
159161
204.6 IPS |
|
|
Style Transfer (Q)
|
96% |
155375
200.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26424
975.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29031
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2511
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3712
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6134
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7113
122.9 IPS |
