Mac mini (2023)
Geekbench ML Score
7182
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.48 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3453
646.1 IPS |
|
|
Image Classification (F16)
|
100% |
6853
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7156
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1327
22.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1589
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1568
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23372
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
83100
100.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
86437
104.7 IPS |
|
|
Object Detection (F32)
|
100% |
2926
218.4 IPS |
|
|
Object Detection (F16)
|
100% |
4371
326.4 IPS |
|
|
Object Detection (I8)
|
97% |
2707
202.1 IPS |
|
|
Face Detection (F32)
|
100% |
9293
110.5 IPS |
|
|
Face Detection (F16)
|
97% |
10699
127.2 IPS |
|
|
Face Detection (I8)
|
96% |
10713
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16154
125.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
31931
247.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
32258
250.2 IPS |
|
|
Style Transfer (F32)
|
100% |
40827
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
132918
174.8 IPS |
|
|
Style Transfer (I8)
|
100% |
134508
176.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7802
278.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16752
598.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18307
653.8 IPS |
|
|
Text Classification (F32)
|
100% |
508
730.2 IPS |
|
|
Text Classification (F16)
|
100% |
684
983.6 IPS |
|
|
Text Classification (I8)
|
96% |
717
1.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
890
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2562
47.1 IPS |
|
|
Machine Translation (I8)
|
99% |
854
15.7 IPS |
