Mac mini (2023)
Geekbench AI Score
2028
Single Precision Score
11935
Half Precision Score
12710
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | August 16 2024 10:32 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1121
208.4 IPS |
|
|
Image Classification (HP)
|
100% |
7402
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
7811
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5058
82.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5083
82.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5884
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
85905
100.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
86925
102.0 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (HP)
|
99% |
8656
688.6 IPS |
|
|
Object Detection (Q)
|
93% |
8998
718.0 IPS |
|
|
Face Detection (SP)
|
100% |
2152
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11575
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
13258
157.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3708
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45818
353.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
52098
402.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10678
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
139390
179.2 IPS |
|
|
Style Transfer (Q)
|
100% |
139548
179.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2895
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19853
733.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25665
950.9 IPS |
|
|
Text Classification (SP)
|
100% |
493
658.7 IPS |
|
|
Text Classification (HP)
|
100% |
575
767.7 IPS |
|
|
Text Classification (Q)
|
93% |
572
767.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2505
43.3 IPS |
