Mac15,12
Geekbench ML Score
10817
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 05:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 4.04 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3575
669.1 IPS |
|
|
Image Classification (F16)
|
100% |
13029
2.44 KIPS |
|
|
Image Classification (I8)
|
99% |
15451
2.89 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1329
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2414
40.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2391
39.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
19158
23.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
109629
132.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
110356
133.6 IPS |
|
|
Object Detection (F32)
|
100% |
3105
231.8 IPS |
|
|
Object Detection (F16)
|
100% |
6922
516.8 IPS |
|
|
Object Detection (I8)
|
97% |
2965
221.4 IPS |
|
|
Face Detection (F32)
|
100% |
9555
113.6 IPS |
|
|
Face Detection (F16)
|
97% |
21447
255.0 IPS |
|
|
Face Detection (I8)
|
96% |
21465
255.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16363
126.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
61338
475.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
59286
459.8 IPS |
|
|
Style Transfer (F32)
|
100% |
41948
55.2 IPS |
|
|
Style Transfer (F16)
|
100% |
158285
208.2 IPS |
|
|
Style Transfer (I8)
|
100% |
154668
203.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5433
194.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
39572
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
39037
1.39 KIPS |
|
|
Text Classification (F32)
|
100% |
2586
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
4560
6.55 KIPS |
|
|
Text Classification (I8)
|
96% |
4591
6.60 KIPS |
|
|
Machine Translation (F32)
|
100% |
842
15.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1519
28.0 IPS |
|
|
Machine Translation (I8)
|
99% |
829
15.3 IPS |
