iPhone 13
Geekbench AI Score
3102
Single Precision Score
5394
Half Precision Score
4307
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 10:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1348
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2347
436.4 IPS |
|
|
Image Classification (Q)
|
96% |
1616
301.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2347
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
12336
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10368
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1348
106.9 IPS |
|
|
Object Detection (HP)
|
97% |
2569
204.5 IPS |
|
|
Object Detection (Q)
|
94% |
1805
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
2937
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10646
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6987
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15976
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25275
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
20535
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3648
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4564
168.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3325
122.8 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4103
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4093
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5421
93.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5399
93.3 IPS |
