Mac mini (2023)
Geekbench AI Score
3483
Single Precision Score
5996
Half Precision Score
5267
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2549
474.0 IPS |
|
|
Image Classification (Q)
|
99% |
2543
474.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2470
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14957
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12934
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.3 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6218
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3610
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11826
91.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
11842
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18817
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28683
36.9 IPS |
|
|
Style Transfer (Q)
|
100% |
28682
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4145
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4822
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3570
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2240
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3776
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5783
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5817
100.5 IPS |
