[2023] Desktop: Mac mini [MMFJ3] [A2686] Mac mini (2023)
Geekbench AI Score
3493
Single Precision Score
23707
Half Precision Score
26159
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | inc7007 |
| Upload Date | January 17 2025 02:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
14726
2.74 KIPS |
|
|
Image Classification (Q)
|
99% |
15717
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14853
240.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
15128
245.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6913
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
101274
118.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
101325
118.8 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
15077
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17555
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3138
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
23142
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
36236
430.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5855
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
75714
583.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
82449
637.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18802
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155642
200.1 IPS |
|
|
Style Transfer (Q)
|
100% |
155794
200.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39829
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49177
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2230
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3717
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4073
70.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4171
72.1 IPS |
