Mac mini (2023)
Geekbench AI Score
3914
Single Precision Score
27453
Half Precision Score
30148
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 09 2026 08:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
15146
2.82 KIPS |
|
|
Image Classification (Q)
|
96% |
17991
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19910
322.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24508
397.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11742
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
107523
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106409
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
16060
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
17764
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
36594
434.8 IPS |
|
|
Face Detection (Q)
|
100% |
47334
562.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5871
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
88288
680.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110609
864.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24825
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
206711
265.7 IPS |
|
|
Style Transfer (Q)
|
96% |
195886
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45082
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50191
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3655
63.2 IPS |
