Mac mini (2024)
Geekbench AI Score
4750
Single Precision Score
37672
Half Precision Score
52182
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | somata |
| Upload Date | January 24 2025 08:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
17314
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24384
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22002
356.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30577
495.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124355
145.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
234111
274.4 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
18732
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26935
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43938
522.1 IPS |
|
|
Face Detection (Q)
|
100% |
59294
704.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8445
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100586
775.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170705
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25466
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234412
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299703
386.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50778
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85999
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
7281
9.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6513
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16938
291.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18739
323.8 IPS |
