Mac mini (2024)
Geekbench AI Score
4814
Single Precision Score
37010
Half Precision Score
53978
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 19 2025 06:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
18242
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
26920
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22191
359.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30310
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9909
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123244
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233038
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
18811
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26623
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4167
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
39191
465.7 IPS |
|
|
Face Detection (Q)
|
100% |
61345
728.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8679
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100347
773.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170013
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21701
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233866
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299488
386.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6109
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49786
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85184
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6774
9.04 KIPS |
|
|
Text Classification (Q)
|
93% |
8248
11.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16566
285.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18904
326.7 IPS |
