Mac15,12
Geekbench ML Score
4707
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 03:39 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1581
295.8 IPS |
|
|
Image Classification (F16)
|
100% |
2897
542.2 IPS |
|
|
Image Classification (I8)
|
99% |
2939
550.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1134
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1447
24.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1454
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8611
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
16580
20.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16618
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1745
130.2 IPS |
|
|
Object Detection (F16)
|
100% |
2872
214.4 IPS |
|
|
Object Detection (I8)
|
97% |
1751
130.8 IPS |
|
|
Face Detection (F32)
|
100% |
3542
42.1 IPS |
|
|
Face Detection (F16)
|
97% |
6693
79.6 IPS |
|
|
Face Detection (I8)
|
97% |
6669
79.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7246
56.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13548
105.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
13561
105.2 IPS |
|
|
Style Transfer (F32)
|
100% |
21980
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
33417
44.0 IPS |
|
|
Style Transfer (I8)
|
100% |
33436
44.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5343
190.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6076
217.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6072
216.8 IPS |
|
|
Text Classification (F32)
|
100% |
2574
3.70 KIPS |
|
|
Text Classification (F16)
|
100% |
4612
6.63 KIPS |
|
|
Text Classification (I8)
|
96% |
4629
6.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1519
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1793
33.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1496
27.5 IPS |
