Mac mini (M4) GPU Mac16,10
Geekbench AI Score
8660
Single Precision Score
10525
Half Precision Score
9393
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 19 2024 11:47 AM |
| Views | 28 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4612
857.7 IPS |
|
|
Image Classification (HP)
|
100% |
5142
956.2 IPS |
|
|
Image Classification (Q)
|
97% |
4364
814.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4868
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7023
113.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7560
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29780
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32089
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30545
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4985
395.4 IPS |
|
|
Object Detection (HP)
|
100% |
5439
431.4 IPS |
|
|
Object Detection (Q)
|
91% |
4635
370.4 IPS |
|
|
Face Detection (SP)
|
100% |
13037
154.9 IPS |
|
|
Face Detection (HP)
|
100% |
15984
189.9 IPS |
|
|
Face Detection (Q)
|
100% |
11833
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21296
164.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23557
181.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
19988
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59751
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72209
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
67602
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12296
454.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13723
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10811
399.2 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1312
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1231
21.3 IPS |
