Mac mini (2023)
Geekbench AI Score
6815
Single Precision Score
7618
Half Precision Score
6667
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ovcharski |
| Upload Date | March 03 2025 04:14 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3755
698.3 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.7 IPS |
|
|
Image Classification (Q)
|
97% |
2976
555.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4053
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5013
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5107
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24642
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26334
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24496
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3493
277.1 IPS |
|
|
Object Detection (HP)
|
100% |
3715
294.7 IPS |
|
|
Object Detection (Q)
|
91% |
3074
245.6 IPS |
|
|
Face Detection (SP)
|
100% |
10443
124.1 IPS |
|
|
Face Detection (HP)
|
100% |
11959
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
8265
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16715
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17924
138.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14905
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42908
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48688
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
45481
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9789
361.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10173
375.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7984
294.8 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
916
15.8 IPS |
