Mac15,12
Geekbench ML Score
4230
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 23 2024 02:23 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1683
315.0 IPS |
|
|
Image Classification (F16)
|
100% |
2212
413.9 IPS |
|
|
Image Classification (I8)
|
99% |
2218
415.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1060
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1016
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8354
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16380
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16426
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1752
130.8 IPS |
|
|
Object Detection (F16)
|
100% |
2359
176.1 IPS |
|
|
Object Detection (I8)
|
97% |
1764
131.7 IPS |
|
|
Face Detection (F32)
|
100% |
3199
38.0 IPS |
|
|
Face Detection (F16)
|
97% |
5128
61.0 IPS |
|
|
Face Detection (I8)
|
97% |
5108
60.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6815
52.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10008
77.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10050
77.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21246
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
31766
41.8 IPS |
|
|
Style Transfer (I8)
|
100% |
31739
41.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5087
181.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6229
222.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6269
223.9 IPS |
|
|
Text Classification (F32)
|
100% |
2613
3.76 KIPS |
|
|
Text Classification (F16)
|
100% |
4239
6.09 KIPS |
|
|
Text Classification (I8)
|
96% |
4238
6.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1477
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1688
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1460
26.9 IPS |
