iPhone 13
Geekbench AI Score
2869
Single Precision Score
3424
Half Precision Score
3150
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 05:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.7 IPS |
|
|
Image Classification (Q)
|
96% |
831
155.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2239
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9219
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10314
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9887
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1064
84.4 IPS |
|
|
Object Detection (HP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (Q)
|
92% |
878
70.1 IPS |
|
|
Face Detection (SP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
4895
58.2 IPS |
|
|
Face Detection (Q)
|
100% |
4310
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7624
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8220
63.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
7454
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16480
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19256
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18536
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2767
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2890
106.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2813
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4168
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
862
14.9 IPS |
