iPhone 13
Geekbench AI Score
2938
Single Precision Score
5405
Half Precision Score
4325
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | September 30 2025 10:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
2397
445.8 IPS |
|
|
Image Classification (Q)
|
96% |
1615
301.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2329
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5253
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
12615
14.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10650
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.1 IPS |
|
|
Object Detection (HP)
|
97% |
2453
195.3 IPS |
|
|
Object Detection (Q)
|
94% |
1746
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
2496
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5148
61.2 IPS |
|
|
Face Detection (Q)
|
100% |
2873
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4796
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10001
77.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6737
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14240
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24422
31.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19690
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3346
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4793
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3365
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2532
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
4164
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4155
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6067
104.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6145
106.2 IPS |
