iPhone 13
Geekbench AI Score
3134
Single Precision Score
5531
Half Precision Score
4437
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.4 IPS |
|
|
Image Classification (Q)
|
96% |
1621
302.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5343
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
12939
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10911
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2667
212.3 IPS |
|
|
Object Detection (Q)
|
94% |
1880
149.9 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
5496
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3041
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10990
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7398
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16643
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26129
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21577
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4586
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3400
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4088
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5560
96.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5470
94.5 IPS |
