Mac mini (2023)
Geekbench ML Score
6806
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 01:40 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 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% |
3213
601.2 IPS |
|
|
Image Classification (F16)
|
100% |
6690
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
7077
1.32 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1155
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1434
24.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
21767
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
83816
101.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
86214
104.4 IPS |
|
|
Object Detection (F32)
|
100% |
2745
205.0 IPS |
|
|
Object Detection (F16)
|
100% |
3556
265.5 IPS |
|
|
Object Detection (I8)
|
97% |
2469
184.3 IPS |
|
|
Face Detection (F32)
|
100% |
8432
100.3 IPS |
|
|
Face Detection (F16)
|
97% |
9942
118.2 IPS |
|
|
Face Detection (I8)
|
96% |
10437
124.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
15002
116.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
35053
271.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
34366
266.5 IPS |
|
|
Style Transfer (F32)
|
100% |
39581
52.1 IPS |
|
|
Style Transfer (F16)
|
100% |
129292
170.1 IPS |
|
|
Style Transfer (I8)
|
100% |
134549
177.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8142
290.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17299
617.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18252
651.9 IPS |
|
|
Text Classification (F32)
|
100% |
561
806.1 IPS |
|
|
Text Classification (F16)
|
100% |
549
789.7 IPS |
|
|
Text Classification (I8)
|
96% |
548
786.9 IPS |
|
|
Machine Translation (F32)
|
100% |
846
15.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2255
41.5 IPS |
|
|
Machine Translation (I8)
|
99% |
802
14.8 IPS |
