Mac mini (2024)
Geekbench AI Score
4771
Single Precision Score
37342
Half Precision Score
53909
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Natrep |
| Upload Date | July 11 2025 09:18 PM |
| Views | 15 |
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% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
19094
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
29269
5.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21270
344.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30266
490.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9850
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122830
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
231585
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2440
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
18888
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27848
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4153
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
44167
524.8 IPS |
|
|
Face Detection (Q)
|
100% |
63654
756.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100157
771.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169686
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20946
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234573
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
299948
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6050
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49928
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85040
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
6242
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6724
9.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17305
298.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19588
338.5 IPS |
