Mac15,13
Geekbench ML Score
4256
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 02:59 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1646
308.0 IPS |
|
|
Image Classification (F16)
|
100% |
2248
420.6 IPS |
|
|
Image Classification (I8)
|
99% |
2269
424.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1056
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1035
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8252
9.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
16365
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16310
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1754
131.0 IPS |
|
|
Object Detection (F16)
|
100% |
2381
177.7 IPS |
|
|
Object Detection (I8)
|
97% |
1753
130.9 IPS |
|
|
Face Detection (F32)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (F16)
|
97% |
5206
61.9 IPS |
|
|
Face Detection (I8)
|
97% |
5197
61.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6869
53.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10064
78.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10053
78.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21247
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
31389
41.3 IPS |
|
|
Style Transfer (I8)
|
100% |
31376
41.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5073
181.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6217
222.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6200
221.4 IPS |
|
|
Text Classification (F32)
|
100% |
2583
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4342
6.24 KIPS |
|
|
Text Classification (I8)
|
96% |
4343
6.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1511
27.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1750
32.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1508
27.8 IPS |
