iPhone 15 Pro
Geekbench ML Score
3620
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | May 08 2024 06:15 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1337
250.3 IPS |
|
|
Image Classification (F16)
|
100% |
1763
329.9 IPS |
|
|
Image Classification (I8)
|
99% |
1668
312.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1449
24.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1582
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
14889
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15796
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15473
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
1556
116.2 IPS |
|
|
Object Detection (F16)
|
100% |
1532
114.4 IPS |
|
|
Object Detection (I8)
|
97% |
1548
115.6 IPS |
|
|
Face Detection (F32)
|
100% |
6029
71.7 IPS |
|
|
Face Detection (F16)
|
98% |
8256
98.2 IPS |
|
|
Face Detection (I8)
|
97% |
8734
103.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12547
97.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13923
108.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
12759
98.9 IPS |
|
|
Style Transfer (F32)
|
100% |
29669
39.0 IPS |
|
|
Style Transfer (F16)
|
100% |
32141
42.3 IPS |
|
|
Style Transfer (I8)
|
100% |
34968
46.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7035
251.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6931
247.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7308
261.0 IPS |
|
|
Text Classification (F32)
|
100% |
456
654.8 IPS |
|
|
Text Classification (F16)
|
100% |
487
699.4 IPS |
|
|
Text Classification (I8)
|
96% |
304
436.9 IPS |
|
|
Machine Translation (F32)
|
100% |
744
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
782
14.4 IPS |
|
|
Machine Translation (I8)
|
99% |
669
12.3 IPS |
