Mac mini (2023)
Geekbench AI Score
3445
Single Precision Score
26984
Half Precision Score
30056
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | July 03 2025 09:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
15083
2.80 KIPS |
|
|
Image Classification (Q)
|
96% |
15655
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19730
319.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24221
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6844
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
106521
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106872
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
15500
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
18357
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34117
405.4 IPS |
|
|
Face Detection (Q)
|
100% |
43441
516.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5569
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88072
678.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110900
866.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18654
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202204
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194826
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40916
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49838
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3917
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4415
76.3 IPS |
