Mac mini (2023)
Geekbench AI Score
10152
Single Precision Score
11405
Half Precision Score
10139
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | May 06 2025 12:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5293
984.3 IPS |
|
|
Image Classification (HP)
|
100% |
5507
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4620
862.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8155
132.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8142
132.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8159
132.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
44930
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
47501
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44132
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
4198
333.0 IPS |
|
|
Object Detection (HP)
|
100% |
5111
405.4 IPS |
|
|
Object Detection (Q)
|
91% |
4294
343.1 IPS |
|
|
Face Detection (SP)
|
100% |
17833
211.9 IPS |
|
|
Face Detection (HP)
|
100% |
19323
229.6 IPS |
|
|
Face Detection (Q)
|
100% |
13883
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25741
198.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26702
205.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22207
173.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79795
102.6 IPS |
|
|
Style Transfer (HP)
|
100% |
85572
110.0 IPS |
|
|
Style Transfer (Q)
|
96% |
79797
103.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17548
648.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18280
675.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14978
553.1 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3984
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1104
19.1 IPS |
