iPhone 13
Geekbench AI Score
3010
Single Precision Score
4531
Half Precision Score
3881
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 14 2024 04:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
1772
329.5 IPS |
|
|
Image Classification (Q)
|
96% |
1360
253.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1690
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5899
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13677
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11576
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2110
168.0 IPS |
|
|
Object Detection (Q)
|
94% |
1605
127.9 IPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2559
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4774
36.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7978
61.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5966
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16307
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25303
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20922
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3430
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4656
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3778
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4319
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4315
74.6 IPS |
