Mac mini (2024)
Geekbench AI Score
4802
Single Precision Score
37275
Half Precision Score
52189
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hlee25 |
| Upload Date | June 02 2025 06:15 AM |
| Views | 7 |
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 | 4.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (HP)
|
100% |
17808
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25149
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21873
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30133
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123297
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232011
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.2 IPS |
|
|
Object Detection (HP)
|
100% |
18633
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26329
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4185
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
44715
531.3 IPS |
|
|
Face Detection (Q)
|
100% |
63700
756.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99352
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168887
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21655
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
231835
298.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299294
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6103
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50056
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83305
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6684
8.92 KIPS |
|
|
Text Classification (Q)
|
93% |
6465
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16795
289.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18676
322.7 IPS |
