Mac mini (2024)
Geekbench AI Score
8810
Single Precision Score
10412
Half Precision Score
9529
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | December 02 2024 03:15 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4859
903.7 IPS |
|
|
Image Classification (HP)
|
100% |
5210
968.9 IPS |
|
|
Image Classification (Q)
|
97% |
4533
846.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4840
78.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7027
113.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7686
124.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29941
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32092
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30540
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5076
402.6 IPS |
|
|
Object Detection (HP)
|
100% |
5487
435.2 IPS |
|
|
Object Detection (Q)
|
91% |
4698
375.4 IPS |
|
|
Face Detection (SP)
|
100% |
12862
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
16810
199.7 IPS |
|
|
Face Detection (Q)
|
100% |
12257
145.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21714
167.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24275
187.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20728
162.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59030
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71757
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
67185
86.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13119
484.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13585
501.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10829
399.9 IPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1221
21.1 IPS |
