Mac mini (2023)
Geekbench AI Score
3331
Single Precision Score
27146
Half Precision Score
30103
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Birkin |
| Upload Date | October 08 2025 07:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
15260
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
16108
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19924
323.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24383
395.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
106339
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106366
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.6 IPS |
|
|
Object Detection (HP)
|
99% |
16093
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17964
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
34702
412.3 IPS |
|
|
Face Detection (Q)
|
100% |
44230
525.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
88541
682.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
111334
870.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18218
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
207061
266.2 IPS |
|
|
Style Transfer (Q)
|
96% |
197598
255.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39636
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49048
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4233
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4384
75.8 IPS |
