Mac mini (2023)
Geekbench AI Score
3317
Single Precision Score
22804
Half Precision Score
25245
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 12 2025 07:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.32 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (HP)
|
100% |
13865
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
16171
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15156
245.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
15167
245.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9785
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
102947
120.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
99309
116.5 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
99% |
14288
1.14 KIPS |
|
|
Object Detection (Q)
|
91% |
17163
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
20952
249.0 IPS |
|
|
Face Detection (Q)
|
100% |
32458
385.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4723
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72673
559.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
81147
627.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18308
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155307
199.6 IPS |
|
|
Style Transfer (Q)
|
100% |
156975
201.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4526
167.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43809
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50394
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3717
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3529
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3223
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3248
56.1 IPS |
