Mac mini (2024)
Geekbench AI Score
4927
Single Precision Score
36372
Half Precision Score
51386
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | March 06 2026 09:13 PM |
| Views | 13 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
17606
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
24830
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21129
342.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29830
483.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123467
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233230
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
17902
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26545
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4274
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
43127
512.4 IPS |
|
|
Face Detection (Q)
|
100% |
60707
721.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99564
767.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
165518
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24396
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232530
298.9 IPS |
|
|
Style Transfer (Q)
|
96% |
321490
414.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52712
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84550
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5696
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5609
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4486
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18274
315.8 IPS |
