Mac mini (2023)
Geekbench AI Score
4100
Single Precision Score
27202
Half Precision Score
30398
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | July 01 2025 02:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
14671
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
17333
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19891
322.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24324
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12704
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106052
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104500
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.5 IPS |
|
|
Object Detection (HP)
|
99% |
15248
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17560
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3463
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
35478
421.6 IPS |
|
|
Face Detection (Q)
|
100% |
45968
546.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6114
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88093
678.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110380
862.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24914
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203253
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
192557
248.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43113
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49776
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4114
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4129
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4353
75.2 IPS |
