Mac mini 2024 (M4) Mac16,10
Geekbench AI Score
8695
Single Precision Score
10488
Half Precision Score
9260
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MST36-JP |
| Upload Date | November 22 2024 02:07 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac16,10 |
| 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% |
4636
862.1 IPS |
|
|
Image Classification (HP)
|
100% |
4984
926.8 IPS |
|
|
Image Classification (Q)
|
97% |
4299
802.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4892
79.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6972
113.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7558
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29984
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32038
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30557
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4972
394.4 IPS |
|
|
Object Detection (HP)
|
100% |
5451
432.4 IPS |
|
|
Object Detection (Q)
|
91% |
4651
371.7 IPS |
|
|
Face Detection (SP)
|
100% |
12131
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
16282
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
11910
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22112
170.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23501
181.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19717
154.1 IPS |
|
|
Style Transfer (SP)
|
100% |
58698
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71588
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
67899
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12464
460.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13723
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11318
417.9 IPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1005
17.4 IPS |
