iPhone 13
Geekbench AI Score
1503
Single Precision Score
2658
Half Precision Score
2145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 02:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
546
101.5 IPS |
|
|
Image Classification (HP)
|
100% |
1050
195.2 IPS |
|
|
Image Classification (Q)
|
96% |
722
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1126
18.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2755
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
5470
6.41 IPS |
|
|
Object Detection (SP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (HP)
|
97% |
1191
94.8 IPS |
|
|
Object Detection (Q)
|
94% |
850
67.7 IPS |
|
|
Face Detection (SP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (Q)
|
100% |
1449
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2254
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4551
35.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3181
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7735
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
12198
15.7 IPS |
|
|
Style Transfer (Q)
|
96% |
10088
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1703
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1649
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
99% |
2096
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2088
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3415
59.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3408
58.9 IPS |
