Mac mini (2024)
Geekbench AI Score
4798
Single Precision Score
37282
Half Precision Score
52737
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 07 2025 04:19 AM |
| Views | 36 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
18277
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
25294
4.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21168
343.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30310
491.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9943
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123375
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232093
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2413
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
18490
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26350
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4209
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
44510
528.9 IPS |
|
|
Face Detection (Q)
|
100% |
63747
757.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8586
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100505
774.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170735
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21638
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236127
303.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298904
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6074
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50534
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85630
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6535
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6637
8.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4367
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16852
290.3 IPS |
|
|
Machine Translation (Q)
|
98% |
19198
331.8 IPS |
