Mac mini (2024)
Geekbench AI Score
4966
Single Precision Score
36567
Half Precision Score
51521
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | August 19 2025 03:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
17175
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24387
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22199
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30238
490.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122751
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232419
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
18808
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26178
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
43315
514.7 IPS |
|
|
Face Detection (Q)
|
100% |
61506
730.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8670
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99392
765.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169686
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24352
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233561
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
320032
413.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52008
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84289
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3235
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5650
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5691
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4495
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16438
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18332
316.8 IPS |
