Mac mini (2024)
Geekbench AI Score
4721
Single Precision Score
37091
Half Precision Score
52491
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jasonquinn77 |
| Upload Date | December 22 2024 03:13 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2003
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
17699
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
26676
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21944
355.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30187
489.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124201
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
233279
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
18532
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26505
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
44406
527.6 IPS |
|
|
Face Detection (Q)
|
100% |
62303
740.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8401
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100877
777.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
174011
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
25429
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234988
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300043
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5794
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50815
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85189
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6209
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6274
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16600
285.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18345
317.0 IPS |
