Mac mini (2023)
Geekbench AI Score
10768
Single Precision Score
11980
Half Precision Score
11199
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | July 01 2025 02:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5336
992.3 IPS |
|
|
Image Classification (HP)
|
100% |
5604
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5110
954.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9205
149.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9223
149.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8877
143.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44492
51.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48611
56.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
46976
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
4981
395.1 IPS |
|
|
Object Detection (HP)
|
100% |
4984
395.4 IPS |
|
|
Object Detection (Q)
|
92% |
4606
367.6 IPS |
|
|
Face Detection (SP)
|
100% |
17842
212.0 IPS |
|
|
Face Detection (HP)
|
100% |
19435
230.9 IPS |
|
|
Face Detection (Q)
|
100% |
15998
190.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25440
196.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27013
208.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
24838
194.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79615
102.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86278
110.9 IPS |
|
|
Style Transfer (Q)
|
96% |
84165
108.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17312
639.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18608
687.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16327
602.9 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4121
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1406
24.3 IPS |
