Mac mini (2024)
Geekbench AI Score
4785
Single Precision Score
37067
Half Precision Score
52418
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 04 2025 04:25 AM |
| Views | 12 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
18091
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
25751
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22096
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30319
491.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9824
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123442
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231382
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
18520
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26124
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
44505
528.8 IPS |
|
|
Face Detection (Q)
|
100% |
63854
758.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8696
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99700
768.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169244
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21215
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235827
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300305
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49791
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86473
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6436
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16062
276.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18373
317.5 IPS |
