iPhone 13
Geekbench AI Score
3175
Single Precision Score
5625
Half Precision Score
4507
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | edesattila |
| Upload Date | May 26 2025 06:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2367
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5991
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
13660
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11234
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2650
210.9 IPS |
|
|
Object Detection (Q)
|
94% |
1869
149.0 IPS |
|
|
Face Detection (SP)
|
100% |
2699
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5387
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3025
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5159
39.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10362
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7106
55.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16526
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26770
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21816
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3530
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2422
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4207
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4197
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6248
108.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6187
106.9 IPS |
