Mac mini (2023)
Geekbench AI Score
3499
Single Precision Score
26792
Half Precision Score
29691
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | urix |
| Upload Date | February 24 2025 07:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
15252
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
15627
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19197
311.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24038
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6890
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
106023
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105534
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
15767
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17650
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
33667
400.0 IPS |
|
|
Face Detection (Q)
|
100% |
42839
509.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5793
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87642
675.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111063
867.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204481
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194921
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4145
153.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40918
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49538
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3791
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4369
75.5 IPS |
