iPhone 13
Geekbench AI Score
3022
Single Precision Score
19629
Half Precision Score
22472
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:18 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
7462
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
10694
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13148
213.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15242
247.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5581
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
79570
92.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
87430
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
99% |
10808
859.8 IPS |
|
|
Object Detection (Q)
|
91% |
11883
949.5 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
27775
330.0 IPS |
|
|
Face Detection (Q)
|
100% |
30302
360.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4877
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50271
387.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
64605
504.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15340
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
151744
195.1 IPS |
|
|
Style Transfer (Q)
|
96% |
152874
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3328
122.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30259
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33866
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2591
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6213
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7388
127.7 IPS |
