iPhone 13
Geekbench AI Score
2545
Single Precision Score
2800
Half Precision Score
2359
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 24 2025 10:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
635
118.1 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
97% |
416
77.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1925
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9294
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10013
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9284
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (HP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (Q)
|
91% |
694
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
4181
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
4907
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3310
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6319
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7544
58.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6000
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16694
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19394
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17969
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2713
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2320
85.7 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4064
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
317
5.45 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
98% |
308
5.33 IPS |
