Mac mini (2023)
Geekbench AI Score
3484
Single Precision Score
21430
Half Precision Score
23520
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
15033
2.80 KIPS |
|
|
Image Classification (Q)
|
99% |
15508
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9033
146.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
9045
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6914
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
99435
116.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
100861
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
99% |
15056
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17509
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3174
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
23142
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
35708
424.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
76329
588.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
82113
634.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18814
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155332
199.7 IPS |
|
|
Style Transfer (Q)
|
100% |
155544
200.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4159
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39788
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49395
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3720
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3741
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2482
42.9 IPS |
