Mac mini (2024)
Geekbench AI Score
2752
Single Precision Score
31155
Half Precision Score
43423
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | nerdhunters |
| Upload Date | April 20 2026 07:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.93 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
15057
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
21349
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17297
280.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21963
356.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4264
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
117382
137.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
217011
254.4 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
100% |
15890
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21122
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
2165
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
37886
450.2 IPS |
|
|
Face Detection (Q)
|
100% |
53462
635.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4437
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87971
677.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
151530
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
10271
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
218247
280.6 IPS |
|
|
Style Transfer (Q)
|
96% |
299159
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46439
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80475
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9763
168.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10663
184.3 IPS |
