Mac mini (2024)
Geekbench AI Score
4765
Single Precision Score
36656
Half Precision Score
50901
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | burakfirat |
| Upload Date | December 26 2024 08:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2049
381.0 IPS |
|
|
Image Classification (HP)
|
100% |
17401
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
24324
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22076
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30209
489.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10085
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124371
145.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233884
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
18334
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26026
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
42938
510.2 IPS |
|
|
Face Detection (Q)
|
100% |
61349
729.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8383
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99654
767.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
171298
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25396
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233143
299.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300462
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49612
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85253
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16635
286.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18202
314.6 IPS |
