Mac mini (2023)
Geekbench AI Score
4062
Single Precision Score
26890
Half Precision Score
29772
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 05:27 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
14218
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
16858
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1593
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19906
322.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24655
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12401
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
105954
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104386
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1653
131.1 IPS |
|
|
Object Detection (HP)
|
99% |
15309
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17148
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3545
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
35127
417.4 IPS |
|
|
Face Detection (Q)
|
100% |
41658
495.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6038
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88174
679.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109876
858.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24718
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204085
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190470
245.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41224
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48954
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2356
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4024
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4324
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4095
70.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4283
74.0 IPS |
