Mac mini (2023)
Geekbench AI Score
3481
Single Precision Score
26904
Half Precision Score
29615
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | aboraged307 |
| Upload Date | March 28 2025 09:17 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
15308
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
15811
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19206
311.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23621
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6894
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
105237
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104720
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.0 IPS |
|
|
Object Detection (HP)
|
99% |
15644
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17900
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3211
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
32871
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
41361
491.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88302
680.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111948
874.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18780
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203283
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193808
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42450
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48654
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2165
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4380
75.7 IPS |
