Mac mini (2023)
Geekbench AI Score
12554
Single Precision Score
13744
Half Precision Score
12348
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | ADK |
| Upload Date | April 20 2026 02:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5448
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5505
1.02 KIPS |
|
|
Image Classification (Q)
|
94% |
5282
987.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9291
150.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9363
151.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8756
141.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44931
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
48969
57.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
47365
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
4984
395.4 IPS |
|
|
Object Detection (HP)
|
100% |
5069
402.1 IPS |
|
|
Object Detection (Q)
|
91% |
4750
379.6 IPS |
|
|
Face Detection (SP)
|
100% |
18966
225.4 IPS |
|
|
Face Detection (HP)
|
100% |
20304
241.3 IPS |
|
|
Face Detection (Q)
|
100% |
18432
219.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25829
199.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26852
206.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25184
196.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79363
102.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86657
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
84518
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17329
639.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18323
676.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15903
587.2 IPS |
|
|
Text Classification (SP)
|
100% |
4574
6.10 KIPS |
|
|
Text Classification (HP)
|
99% |
6943
9.27 KIPS |
|
|
Text Classification (Q)
|
92% |
6896
9.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2784
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1841
31.8 IPS |
