iPhone 13
Geekbench AI Score
3251
Single Precision Score
20549
Half Precision Score
23690
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | StoneMan240 |
| Upload Date | September 07 2025 06:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
8514
1.58 KIPS |
|
|
Image Classification (Q)
|
96% |
10918
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1340
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13401
217.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15242
247.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
89678
104.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
95155
111.5 IPS |
|
|
Object Detection (SP)
|
100% |
1434
113.7 IPS |
|
|
Object Detection (HP)
|
99% |
10383
825.9 IPS |
|
|
Object Detection (Q)
|
91% |
12171
972.5 IPS |
|
|
Face Detection (SP)
|
100% |
2755
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
27453
326.2 IPS |
|
|
Face Detection (Q)
|
100% |
35576
422.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5335
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59448
458.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
81565
637.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16820
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
166143
213.6 IPS |
|
|
Style Transfer (Q)
|
96% |
171525
221.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27287
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31874
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2477
3.31 KIPS |
|
|
Text Classification (Q)
|
93% |
2486
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3641
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6898
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7325
126.6 IPS |
