Mac mini (2023)
Geekbench ML Score
7118
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:50 AM |
| Views | 17 |
| Notes | Mac mini (2023)/M2 8Core CPU/10Core GPU/8GB/256GB |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3428
641.5 IPS |
|
|
Image Classification (F16)
|
100% |
6842
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7190
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1411
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1559
26.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22768
27.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
84285
102.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
86321
104.5 IPS |
|
|
Object Detection (F32)
|
100% |
2369
176.8 IPS |
|
|
Object Detection (F16)
|
100% |
4459
332.9 IPS |
|
|
Object Detection (I8)
|
97% |
2538
189.5 IPS |
|
|
Face Detection (F32)
|
100% |
9367
111.4 IPS |
|
|
Face Detection (F16)
|
97% |
10914
129.8 IPS |
|
|
Face Detection (I8)
|
96% |
10990
130.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16315
126.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
38562
299.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
36986
286.8 IPS |
|
|
Style Transfer (F32)
|
100% |
40257
53.0 IPS |
|
|
Style Transfer (F16)
|
100% |
134199
176.5 IPS |
|
|
Style Transfer (I8)
|
100% |
133658
175.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8397
299.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19316
689.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18509
661.0 IPS |
|
|
Text Classification (F32)
|
100% |
458
657.8 IPS |
|
|
Text Classification (F16)
|
100% |
548
788.2 IPS |
|
|
Text Classification (I8)
|
96% |
566
814.0 IPS |
|
|
Machine Translation (F32)
|
100% |
884
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2367
43.6 IPS |
|
|
Machine Translation (I8)
|
99% |
842
15.5 IPS |
