iPhone 13
Geekbench AI Score
3125
Single Precision Score
5475
Half Precision Score
4415
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | eunu |
| Upload Date | August 03 2025 02:58 AM |
| Views | 12 |
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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (Q)
|
96% |
1597
298.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2321
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5287
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
11701
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10114
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2639
210.1 IPS |
|
|
Object Detection (Q)
|
94% |
1824
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2702
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
2970
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5143
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10304
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7047
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16220
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26351
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21606
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2480
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4272
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4271
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5987
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6090
105.2 IPS |
