Mac mini (2024)
Geekbench AI Score
4823
Single Precision Score
36985
Half Precision Score
52243
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 22 2025 03:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2104
391.2 IPS |
|
|
Image Classification (HP)
|
100% |
17845
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
25313
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22008
356.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30457
493.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9896
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123260
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232442
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
18444
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26292
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4287
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
44491
528.7 IPS |
|
|
Face Detection (Q)
|
100% |
63550
755.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8652
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99438
766.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167338
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21612
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232785
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300335
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6114
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49920
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84054
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6244
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6532
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16710
287.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18333
316.8 IPS |
