iPhone 13
Geekbench AI Score
3189
Single Precision Score
19988
Half Precision Score
22127
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 12:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
9593
1.78 KIPS |
|
|
Image Classification (Q)
|
96% |
10346
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1262
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12695
205.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14443
234.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5707
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
87989
102.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94720
111.0 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
99% |
10517
836.6 IPS |
|
|
Object Detection (Q)
|
91% |
12224
976.7 IPS |
|
|
Face Detection (SP)
|
100% |
2738
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28341
336.7 IPS |
|
|
Face Detection (Q)
|
100% |
35606
423.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5294
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55984
431.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
72400
565.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16965
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
168322
216.4 IPS |
|
|
Style Transfer (Q)
|
96% |
153365
197.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27541
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29552
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2432
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5087
87.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5724
98.9 IPS |
