iPhone 13
Geekbench AI Score
1581
Single Precision Score
11572
Half Precision Score
12911
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
5912
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
6219
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7575
122.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9059
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
38703
45.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
38224
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
99% |
5919
470.8 IPS |
|
|
Object Detection (Q)
|
91% |
6539
522.5 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
14254
169.4 IPS |
|
|
Face Detection (Q)
|
100% |
18380
218.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2414
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
33407
257.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
38843
303.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7898
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
77473
99.6 IPS |
|
|
Style Transfer (Q)
|
96% |
75362
97.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1813
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15858
585.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18162
670.6 IPS |
|
|
Text Classification (SP)
|
100% |
1180
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1909
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4412
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4698
81.2 IPS |
