Mac mini (2024)
Geekbench AI Score
8553
Single Precision Score
9669
Half Precision Score
9296
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 06:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4715
876.8 IPS |
|
|
Image Classification (HP)
|
100% |
5162
960.0 IPS |
|
|
Image Classification (Q)
|
97% |
4467
833.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4768
77.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6885
111.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7648
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29442
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31895
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
30311
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4922
390.4 IPS |
|
|
Object Detection (HP)
|
100% |
5509
436.9 IPS |
|
|
Object Detection (Q)
|
91% |
4628
369.8 IPS |
|
|
Face Detection (SP)
|
100% |
12312
146.3 IPS |
|
|
Face Detection (HP)
|
100% |
12582
149.5 IPS |
|
|
Face Detection (Q)
|
100% |
11987
142.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21121
162.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23209
178.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
20366
159.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58692
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71680
92.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67427
87.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12408
458.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8695
321.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10758
397.2 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5403
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1052
18.2 IPS |
