iPhone 13 Pro
Geekbench AI Score
2999
Single Precision Score
3317
Half Precision Score
1201
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 08 2024 04:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1544
287.2 IPS |
|
|
Image Classification (Q)
|
97% |
1385
258.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2415
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10835
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12176
14.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
11007
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1887
149.7 IPS |
|
|
Object Detection (HP)
|
100% |
1948
154.5 IPS |
|
|
Object Detection (Q)
|
92% |
1581
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
5388
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3799
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8333
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9029
69.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17427
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22676
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21728
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3954
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
365
487.6 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.3 IPS |
|
|
Text Classification (Q)
|
93% |
247
331.7 IPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1331
23.0 IPS |
