Mac mini (2024)
Geekbench AI Score
12915
Single Precision Score
14044
Half Precision Score
12817
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 31 2024 03:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6978
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7525
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
6370
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10699
173.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11343
183.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11440
185.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
46009
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
48343
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45855
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6880
545.7 IPS |
|
|
Object Detection (HP)
|
100% |
7318
580.4 IPS |
|
|
Object Detection (Q)
|
91% |
6055
483.9 IPS |
|
|
Face Detection (SP)
|
100% |
22659
269.2 IPS |
|
|
Face Detection (HP)
|
100% |
24741
294.0 IPS |
|
|
Face Detection (Q)
|
100% |
18968
225.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31423
242.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33229
256.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
28019
219.0 IPS |
|
|
Style Transfer (SP)
|
100% |
105004
135.0 IPS |
|
|
Style Transfer (HP)
|
100% |
113871
146.4 IPS |
|
|
Style Transfer (Q)
|
96% |
107618
138.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17181
634.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18319
676.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14251
526.2 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5209
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1453
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1393
24.1 IPS |
