iPhone 13
Geekbench AI Score
2659
Single Precision Score
2817
Half Precision Score
2397
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
975
181.3 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (Q)
|
97% |
504
94.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1937
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9224
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9298
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1102
87.4 IPS |
|
|
Object Detection (HP)
|
100% |
984
78.0 IPS |
|
|
Object Detection (Q)
|
91% |
721
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
4119
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
4763
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
3384
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6478
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6093
46.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6008
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16695
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19336
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17691
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2772
102.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2223
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4093
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4051
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
98% |
296
5.11 IPS |
