Mac mini (2024)
Geekbench AI Score
8316
Single Precision Score
10227
Half Precision Score
9309
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | toshiyuki |
| Upload Date | January 28 2025 02:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.15 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4550
846.2 IPS |
|
|
Image Classification (HP)
|
100% |
4888
909.0 IPS |
|
|
Image Classification (Q)
|
97% |
4185
781.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4652
75.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6861
111.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7473
121.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29669
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31745
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
30113
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4236
336.0 IPS |
|
|
Object Detection (HP)
|
100% |
5297
420.2 IPS |
|
|
Object Detection (Q)
|
91% |
4528
361.8 IPS |
|
|
Face Detection (SP)
|
100% |
11827
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
16073
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
11947
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21247
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23419
180.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20647
161.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58828
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70597
90.8 IPS |
|
|
Style Transfer (Q)
|
96% |
66933
86.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12296
454.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13236
488.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10885
401.9 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5238
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5243
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1217
21.0 IPS |
