iPhone 15 Pro
Geekbench ML Score
3567
Core ML GPU Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 08 2024 11:55 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.3 |
| 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1204
225.3 IPS |
|
|
Image Classification (F16)
|
100% |
1580
295.6 IPS |
|
|
Image Classification (I8)
|
99% |
1666
311.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1478
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1600
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14842
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
15778
19.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
15538
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1639
122.4 IPS |
|
|
Object Detection (F16)
|
100% |
1490
111.2 IPS |
|
|
Object Detection (I8)
|
97% |
1577
117.7 IPS |
|
|
Face Detection (F32)
|
100% |
6278
74.6 IPS |
|
|
Face Detection (F16)
|
97% |
8207
97.6 IPS |
|
|
Face Detection (I8)
|
96% |
8425
100.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12352
95.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13756
106.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
12572
97.5 IPS |
|
|
Style Transfer (F32)
|
100% |
29545
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
36745
48.3 IPS |
|
|
Style Transfer (I8)
|
100% |
31626
41.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6669
238.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7308
261.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7275
259.8 IPS |
|
|
Text Classification (F32)
|
100% |
431
619.1 IPS |
|
|
Text Classification (F16)
|
100% |
436
626.8 IPS |
|
|
Text Classification (I8)
|
96% |
283
406.1 IPS |
|
|
Machine Translation (F32)
|
100% |
725
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
774
14.2 IPS |
|
|
Machine Translation (I8)
|
99% |
660
12.2 IPS |
