iPhone 13
Geekbench AI Score
3211
Single Precision Score
19576
Half Precision Score
22138
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 02 2025 06:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
7442
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
9821
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12425
201.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
14872
241.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6091
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
84277
98.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
80631
94.5 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
10705
851.6 IPS |
|
|
Object Detection (Q)
|
91% |
12132
969.4 IPS |
|
|
Face Detection (SP)
|
100% |
2669
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
28575
339.5 IPS |
|
|
Face Detection (Q)
|
100% |
35644
423.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55581
428.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
75345
588.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16127
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
153715
197.6 IPS |
|
|
Style Transfer (Q)
|
96% |
142071
183.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28509
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30342
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (Q)
|
93% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6255
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7398
127.8 IPS |
