Mac mini (2023)
Geekbench AI Score
4365
Single Precision Score
23956
Half Precision Score
26820
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 03 2025 09:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (HP)
|
100% |
13833
2.57 KIPS |
|
|
Image Classification (Q)
|
99% |
16688
3.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15428
250.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
15507
251.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12814
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
103287
120.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
98168
115.1 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (HP)
|
99% |
14475
1.15 KIPS |
|
|
Object Detection (Q)
|
91% |
17488
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
23857
283.5 IPS |
|
|
Face Detection (Q)
|
100% |
37720
448.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6601
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74319
572.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
83222
643.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26536
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
157562
202.5 IPS |
|
|
Style Transfer (Q)
|
100% |
157082
201.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42369
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50040
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4027
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4703
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4363
75.4 IPS |
