Mac mini (2023)
Geekbench AI Score
3450
Single Precision Score
26229
Half Precision Score
29769
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pom8646 |
| Upload Date | April 20 2025 03:13 PM |
| Views | 18 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
14636
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
16421
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1476
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18712
303.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23394
379.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6690
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
99885
116.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
99049
116.1 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
99% |
15747
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
18135
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3212
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
30993
368.3 IPS |
|
|
Face Detection (Q)
|
100% |
43172
513.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5795
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84265
649.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106139
829.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18938
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203841
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
198397
256.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41650
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51401
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3814
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4231
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4378
75.7 IPS |
