Mac mini (2023)
Geekbench ML Score
8272
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 17 2024 04:44 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5264n) |
| 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% |
3294
616.4 IPS |
|
|
Image Classification (F16)
|
100% |
6883
1.29 KIPS |
|
|
Image Classification (I8)
|
99% |
7255
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1414
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1601
26.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1583
26.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23406
28.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
84687
102.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
86546
104.8 IPS |
|
|
Object Detection (F32)
|
100% |
2885
215.4 IPS |
|
|
Object Detection (F16)
|
100% |
4022
300.3 IPS |
|
|
Object Detection (I8)
|
97% |
1801
134.4 IPS |
|
|
Face Detection (F32)
|
100% |
8939
106.3 IPS |
|
|
Face Detection (F16)
|
97% |
12855
152.9 IPS |
|
|
Face Detection (I8)
|
96% |
13242
157.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16209
125.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
39075
303.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
36873
285.9 IPS |
|
|
Style Transfer (F32)
|
100% |
40818
53.7 IPS |
|
|
Style Transfer (F16)
|
100% |
128230
168.7 IPS |
|
|
Style Transfer (I8)
|
100% |
128201
168.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7933
283.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18837
672.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18783
670.8 IPS |
|
|
Text Classification (F32)
|
100% |
2010
2.89 KIPS |
|
|
Text Classification (F16)
|
100% |
3307
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3336
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
753
13.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2314
42.6 IPS |
|
|
Machine Translation (I8)
|
99% |
618
11.4 IPS |
