Mac mini (2023)
Geekbench AI Score
3319
Single Precision Score
25826
Half Precision Score
28411
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kensaito |
| Upload Date | January 05 2026 11:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
14084
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15296
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18827
305.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22997
372.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6291
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
104713
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105961
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
15010
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16289
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
32188
382.5 IPS |
|
|
Face Detection (Q)
|
100% |
40922
486.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5504
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
82117
632.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
96671
755.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18103
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
195040
250.7 IPS |
|
|
Style Transfer (Q)
|
96% |
192498
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40978
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47758
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3799
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4086
70.6 IPS |
