Mac mini (2023)
Geekbench ML Score
7277
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 05:40 PM |
| Views | 1 |
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% |
3398
635.8 IPS |
|
|
Image Classification (F16)
|
100% |
6823
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7223
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1454
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1588
26.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1619
27.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
22959
27.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
82330
99.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
84285
102.1 IPS |
|
|
Object Detection (F32)
|
100% |
2910
217.2 IPS |
|
|
Object Detection (F16)
|
100% |
4516
337.1 IPS |
|
|
Object Detection (I8)
|
97% |
2697
201.4 IPS |
|
|
Face Detection (F32)
|
100% |
9361
111.3 IPS |
|
|
Face Detection (F16)
|
97% |
10758
127.9 IPS |
|
|
Face Detection (I8)
|
96% |
10713
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16246
126.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
36532
283.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
37198
288.5 IPS |
|
|
Style Transfer (F32)
|
100% |
40610
53.4 IPS |
|
|
Style Transfer (F16)
|
100% |
135471
178.2 IPS |
|
|
Style Transfer (I8)
|
100% |
135048
177.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8818
314.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18773
670.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18749
669.6 IPS |
|
|
Text Classification (F32)
|
100% |
472
679.1 IPS |
|
|
Text Classification (F16)
|
100% |
565
811.6 IPS |
|
|
Text Classification (I8)
|
96% |
586
841.6 IPS |
|
|
Machine Translation (F32)
|
100% |
952
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2847
52.4 IPS |
|
|
Machine Translation (I8)
|
99% |
879
16.2 IPS |
