Mac mini (2023)
Geekbench AI Score
4085
Single Precision Score
27248
Half Precision Score
30365
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
14751
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
17658
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19807
321.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24335
394.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12787
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105864
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104233
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (HP)
|
99% |
15244
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17293
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
35489
421.7 IPS |
|
|
Face Detection (Q)
|
100% |
46194
548.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6157
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87892
677.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108673
849.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24641
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204710
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187483
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42484
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50209
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4123
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4359
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4278
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4441
76.7 IPS |
