Mac mini 2024 (M4) Mac16,10
Geekbench AI Score
4732
Single Precision Score
36783
Half Precision Score
51803
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MST36-JP |
| Upload Date | November 22 2024 02:09 PM |
| Views | 241 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
17347
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24808
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21198
343.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30292
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9983
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124440
145.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
234533
274.9 IPS |
|
|
Object Detection (SP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (HP)
|
100% |
19362
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
26293
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
43006
511.0 IPS |
|
|
Face Detection (Q)
|
100% |
61894
735.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99933
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170522
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25481
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235557
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300678
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49492
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84646
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6209
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6145
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3928
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16452
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18194
314.4 IPS |
