iPhone 13
Geekbench AI Score
3101
Single Precision Score
20079
Half Precision Score
22228
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 01:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
7860
1.46 KIPS |
|
|
Image Classification (Q)
|
96% |
11006
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13519
219.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15103
244.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5885
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
86383
100.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
94112
110.3 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
99% |
11051
879.1 IPS |
|
|
Object Detection (Q)
|
91% |
12085
965.6 IPS |
|
|
Face Detection (SP)
|
100% |
2605
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
28413
337.6 IPS |
|
|
Face Detection (Q)
|
100% |
34806
413.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5061
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55121
424.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
67813
529.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16227
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
152528
196.1 IPS |
|
|
Style Transfer (Q)
|
96% |
141177
182.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3506
129.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29677
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27642
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
2408
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3458
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6228
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7024
121.4 IPS |
