Mac mini (2024)
Geekbench AI Score
4835
Single Precision Score
37190
Half Precision Score
52317
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 07:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2095
389.6 IPS |
|
|
Image Classification (HP)
|
100% |
17967
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
25578
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21428
347.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30508
494.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9979
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123424
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231896
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
18614
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26339
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4295
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
44828
532.7 IPS |
|
|
Face Detection (Q)
|
100% |
63436
753.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8651
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100664
775.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169855
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21868
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
236422
303.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300011
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6111
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51433
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85266
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6263
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6366
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4361
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16655
286.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18368
317.4 IPS |
