Mac15,13
Geekbench ML Score
4203
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 19 2024 03:47 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1662
311.0 IPS |
|
|
Image Classification (F16)
|
100% |
2231
417.5 IPS |
|
|
Image Classification (I8)
|
99% |
2199
411.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1044
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1004
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
997
16.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8289
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16356
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16374
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1742
130.1 IPS |
|
|
Object Detection (F16)
|
100% |
2355
175.8 IPS |
|
|
Object Detection (I8)
|
97% |
1747
130.4 IPS |
|
|
Face Detection (F32)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (F16)
|
97% |
4962
59.0 IPS |
|
|
Face Detection (I8)
|
97% |
5008
59.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6717
52.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9855
76.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9857
76.4 IPS |
|
|
Style Transfer (F32)
|
100% |
21104
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31490
41.4 IPS |
|
|
Style Transfer (I8)
|
100% |
31451
41.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5165
184.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6279
224.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6253
223.3 IPS |
|
|
Text Classification (F32)
|
100% |
2592
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
4380
6.30 KIPS |
|
|
Text Classification (I8)
|
96% |
4383
6.30 KIPS |
|
|
Machine Translation (F32)
|
100% |
1451
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1670
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1448
26.7 IPS |
