Mac mini (2024)
Geekbench AI Score
4948
Single Precision Score
36627
Half Precision Score
51095
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | October 12 2025 01:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
17636
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
24963
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22267
361.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30297
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123300
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232691
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17783
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25671
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
43424
516.0 IPS |
|
|
Face Detection (Q)
|
100% |
59500
707.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8561
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99715
768.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163843
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24501
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233619
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
322018
415.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53491
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82799
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4496
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16581
285.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18301
316.3 IPS |
