Mac mini (2023)
Geekbench AI Score
2381
Single Precision Score
4287
Half Precision Score
3575
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geekbench_user2983 |
| Upload Date | April 26 2025 02:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.93 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
956
177.8 IPS |
|
|
Image Classification (HP)
|
100% |
1840
342.2 IPS |
|
|
Image Classification (Q)
|
96% |
1331
248.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2082
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4479
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8733
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (HP)
|
97% |
2010
160.0 IPS |
|
|
Object Detection (Q)
|
94% |
1503
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
2135
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
2559
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3845
29.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7740
59.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
5622
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11967
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19613
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
16760
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3447
127.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2649
97.8 IPS |
|
|
Text Classification (SP)
|
100% |
1850
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3248
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3230
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4508
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4554
78.7 IPS |
