iPhone 13
Geekbench AI Score
3125
Single Precision Score
19962
Half Precision Score
22788
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | edesattila |
| Upload Date | November 01 2025 05:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1270
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
8377
1.56 KIPS |
|
|
Image Classification (Q)
|
96% |
10962
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1292
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12205
197.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
15748
255.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5832
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
82441
96.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
82554
96.8 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
99% |
11266
896.2 IPS |
|
|
Object Detection (Q)
|
91% |
12605
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
28526
338.9 IPS |
|
|
Face Detection (Q)
|
100% |
36312
431.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5162
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56364
434.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
70669
552.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16338
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
151584
194.9 IPS |
|
|
Style Transfer (Q)
|
96% |
148458
191.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29392
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29181
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2436
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6136
105.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7765
134.2 IPS |
