iPhone 13
Geekbench AI Score
3157
Single Precision Score
19710
Half Precision Score
22848
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | September 25 2025 05:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1271
236.4 IPS |
|
|
Image Classification (HP)
|
100% |
7992
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
11056
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13307
215.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15482
251.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5792
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
81176
94.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
94228
110.4 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.8 IPS |
|
|
Object Detection (HP)
|
99% |
10948
870.9 IPS |
|
|
Object Detection (Q)
|
91% |
12367
988.2 IPS |
|
|
Face Detection (SP)
|
100% |
2732
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28536
339.1 IPS |
|
|
Face Detection (Q)
|
100% |
36715
436.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5241
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
52163
401.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
69143
540.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16939
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
148886
191.4 IPS |
|
|
Style Transfer (Q)
|
96% |
153715
198.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3634
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29139
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27123
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2570
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6113
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7331
126.7 IPS |
