Mac mini (2023)
Geekbench AI Score
3475
Single Precision Score
27079
Half Precision Score
29945
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mantis30pl |
| Upload Date | April 28 2025 09:38 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
15312
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
15610
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19767
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24221
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6834
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
105964
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105462
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
15800
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17930
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33835
402.0 IPS |
|
|
Face Detection (Q)
|
100% |
43462
516.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5609
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87837
676.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110679
864.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18771
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205978
264.8 IPS |
|
|
Style Transfer (Q)
|
96% |
197451
254.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4071
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40914
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49379
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3769
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4294
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4481
77.4 IPS |
