Mac mini (2024)
Geekbench AI Score
8532
Single Precision Score
10301
Half Precision Score
9304
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Merlion |
| Upload Date | December 24 2024 02:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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% |
4892
909.7 IPS |
|
|
Image Classification (HP)
|
100% |
5297
985.1 IPS |
|
|
Image Classification (Q)
|
97% |
4620
862.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4861
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7117
115.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7575
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29949
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32368
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
30753
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5059
401.3 IPS |
|
|
Object Detection (HP)
|
100% |
5594
443.7 IPS |
|
|
Object Detection (Q)
|
91% |
4792
382.9 IPS |
|
|
Face Detection (SP)
|
100% |
12957
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
16328
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
12531
148.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
22158
170.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24623
189.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20822
162.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59099
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72591
93.3 IPS |
|
|
Style Transfer (Q)
|
96% |
68531
88.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12416
458.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13484
497.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11697
431.9 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5551
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
913
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
812
14.0 IPS |
