iPhone 13
Geekbench AI Score
3002
Single Precision Score
5352
Half Precision Score
4293
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 01 2025 02:14 AM |
| 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% |
1268
235.8 IPS |
|
|
Image Classification (HP)
|
100% |
2322
431.8 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2231
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5279
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
12354
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10087
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
97% |
2492
198.4 IPS |
|
|
Object Detection (Q)
|
94% |
1768
140.9 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5121
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
2862
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4833
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9867
76.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6846
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14851
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25512
32.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20777
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3539
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3382
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2414
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4192
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4167
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5845
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5896
101.9 IPS |
