Mac mini (2023)
Geekbench AI Score
2318
Single Precision Score
20432
Half Precision Score
22429
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geekbench_user2983 |
| Upload Date | April 26 2025 03:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 2.87 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (HP)
|
100% |
11660
2.17 KIPS |
|
|
Image Classification (Q)
|
96% |
12813
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15048
243.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18409
298.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4438
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
78669
91.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
75817
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
99% |
12482
992.9 IPS |
|
|
Object Detection (Q)
|
91% |
13080
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
23443
278.6 IPS |
|
|
Face Detection (Q)
|
100% |
29470
350.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3801
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
67205
517.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
83514
652.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11322
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
156407
201.1 IPS |
|
|
Style Transfer (Q)
|
96% |
150972
194.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2684
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32351
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38938
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3219
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2894
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2958
51.1 IPS |
