Mac mini (2023)
Geekbench AI Score
3471
Single Precision Score
26958
Half Precision Score
29752
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | pesu |
| Upload Date | January 03 2026 11:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
15395
2.86 KIPS |
|
|
Image Classification (Q)
|
96% |
15866
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19746
320.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24269
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6844
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
107030
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105707
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
99% |
15891
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17884
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
31337
372.4 IPS |
|
|
Face Detection (Q)
|
100% |
39399
468.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5589
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87517
674.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110542
863.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204309
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
197245
254.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40739
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49574
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3875
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4592
79.4 IPS |
