iPhone 13
Geekbench AI Score
3185
Single Precision Score
5547
Half Precision Score
4514
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 03:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2399
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6108
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
13450
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11366
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2600
207.0 IPS |
|
|
Object Detection (Q)
|
94% |
1882
150.0 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5408
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3005
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5182
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10255
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7181
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26375
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21734
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3662
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3494
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6167
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6193
107.0 IPS |
