Mac mini m4 Mac16,10
Geekbench AI Score
4643
Single Precision Score
37756
Half Precision Score
54845
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Willian |
| Upload Date | November 08 2024 08:47 PM |
| Views | 92 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
19024
3.54 KIPS |
|
|
Image Classification (Q)
|
97% |
29209
5.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21874
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30198
489.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9890
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
124025
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233432
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
18896
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27093
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3882
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
40582
482.2 IPS |
|
|
Face Detection (Q)
|
100% |
61517
731.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99590
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171518
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25292
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233182
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299163
386.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51187
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91591
3.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3000
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
7605
10.2 KIPS |
|
|
Text Classification (Q)
|
93% |
8122
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16457
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18801
324.9 IPS |
