Mac mini (2024)
Geekbench AI Score
8733
Single Precision Score
10491
Half Precision Score
9525
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 30 2025 06:18 PM |
| Views | 7 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4599
855.3 IPS |
|
|
Image Classification (HP)
|
100% |
5002
930.1 IPS |
|
|
Image Classification (Q)
|
97% |
4379
817.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5011
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7050
114.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7595
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29887
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32073
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30544
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5021
398.2 IPS |
|
|
Object Detection (HP)
|
100% |
5444
431.8 IPS |
|
|
Object Detection (Q)
|
91% |
4714
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
13153
156.3 IPS |
|
|
Face Detection (HP)
|
100% |
16970
201.6 IPS |
|
|
Face Detection (Q)
|
100% |
12568
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21489
165.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23605
181.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20303
158.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60131
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72044
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67941
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12296
454.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13736
507.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10727
396.1 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5365
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1287
22.2 IPS |
