Mac mini (2024)
Geekbench AI Score
4690
Single Precision Score
37118
Half Precision Score
52020
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 20 2025 04:23 AM |
| Views | 34 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
18017
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
27789
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22120
358.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30431
493.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9918
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123880
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232511
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
19160
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26238
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
43669
518.9 IPS |
|
|
Face Detection (Q)
|
100% |
56131
667.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8374
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99740
768.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
170469
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25151
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234624
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300553
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5703
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49733
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86758
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6225
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3871
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16360
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18113
313.0 IPS |
