iPhone 13
Geekbench AI Score
2868
Single Precision Score
5143
Half Precision Score
4070
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 08:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (Q)
|
96% |
1581
295.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1212
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2174
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5001
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
11453
13.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9610
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
97% |
2437
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
1655
131.9 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4853
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
2641
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4562
35.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9503
73.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6333
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14153
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23632
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19139
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3388
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3201
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4159
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5464
94.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5426
93.8 IPS |
