iPhone 13
Geekbench AI Score
3120
Single Precision Score
19549
Half Precision Score
22842
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 08 2025 08:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1320
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
7948
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
9615
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13224
214.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15494
251.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5740
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
92024
107.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
96538
113.1 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.0 IPS |
|
|
Object Detection (HP)
|
99% |
10410
828.1 IPS |
|
|
Object Detection (Q)
|
91% |
12163
971.9 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
28475
338.4 IPS |
|
|
Face Detection (Q)
|
100% |
35574
422.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5035
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56763
437.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
77576
606.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15691
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
165218
212.4 IPS |
|
|
Style Transfer (Q)
|
96% |
165988
214.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3632
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26416
975.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30433
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2210
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6219
107.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7175
124.0 IPS |
