Mac mini (2024)
Geekbench AI Score
4931
Single Precision Score
36212
Half Precision Score
51211
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | sedarby2026 |
| Upload Date | March 12 2026 07:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
16955
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
24605
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22207
360.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30434
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123061
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232490
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17883
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26320
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
42937
510.2 IPS |
|
|
Face Detection (Q)
|
100% |
59917
711.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8545
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99390
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
165576
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24358
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
231416
297.5 IPS |
|
|
Style Transfer (Q)
|
96% |
319573
412.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51269
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84473
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16452
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18150
313.7 IPS |
