Mac15,13
Geekbench ML Score
6767
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 02:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4125
771.9 IPS |
|
|
Image Classification (F16)
|
100% |
7367
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
7945
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1759
29.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1460
24.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1537
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14578
17.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
89799
108.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
71196
86.2 IPS |
|
|
Object Detection (F32)
|
100% |
3092
230.8 IPS |
|
|
Object Detection (F16)
|
100% |
4180
312.1 IPS |
|
|
Object Detection (I8)
|
97% |
2494
186.2 IPS |
|
|
Face Detection (F32)
|
100% |
7006
83.3 IPS |
|
|
Face Detection (F16)
|
97% |
7373
87.7 IPS |
|
|
Face Detection (I8)
|
96% |
10104
120.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
11432
88.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
39690
307.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
40194
311.7 IPS |
|
|
Style Transfer (F32)
|
100% |
30378
40.0 IPS |
|
|
Style Transfer (F16)
|
100% |
138441
182.1 IPS |
|
|
Style Transfer (I8)
|
100% |
138257
181.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6463
230.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20470
731.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17619
629.2 IPS |
|
|
Text Classification (F32)
|
100% |
541
777.7 IPS |
|
|
Text Classification (F16)
|
100% |
723
1.04 KIPS |
|
|
Text Classification (I8)
|
96% |
750
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
571
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2341
43.1 IPS |
|
|
Machine Translation (I8)
|
99% |
564
10.4 IPS |
