Mac mini (2023)
Geekbench ML Score
7152
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 22 2024 08:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B74) |
| 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% |
3474
650.1 IPS |
|
|
Image Classification (F16)
|
100% |
6834
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7209
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1353
22.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1595
26.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1562
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22662
27.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
82837
100.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
85445
103.5 IPS |
|
|
Object Detection (F32)
|
100% |
1903
142.1 IPS |
|
|
Object Detection (F16)
|
100% |
3845
287.1 IPS |
|
|
Object Detection (I8)
|
97% |
1745
130.3 IPS |
|
|
Face Detection (F32)
|
100% |
9388
111.6 IPS |
|
|
Face Detection (F16)
|
97% |
14573
173.3 IPS |
|
|
Face Detection (I8)
|
96% |
14538
172.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
16348
126.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
34816
270.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
31730
246.1 IPS |
|
|
Style Transfer (F32)
|
100% |
40827
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
129000
169.7 IPS |
|
|
Style Transfer (I8)
|
100% |
135160
177.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7822
279.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18582
663.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18631
665.4 IPS |
|
|
Text Classification (F32)
|
100% |
894
1.29 KIPS |
|
|
Text Classification (F16)
|
100% |
520
747.3 IPS |
|
|
Text Classification (I8)
|
96% |
614
882.3 IPS |
|
|
Machine Translation (F32)
|
100% |
886
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2525
46.5 IPS |
|
|
Machine Translation (I8)
|
99% |
823
15.1 IPS |
