Mac mini (2024)
Geekbench AI Score
5759
Single Precision Score
37044
Half Precision Score
50432
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | December 09 2024 02:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17876
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23688
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23204
376.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32335
524.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18898
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123590
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231951
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
19888
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24548
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4464
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
44981
534.5 IPS |
|
|
Face Detection (Q)
|
100% |
64386
765.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8830
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112871
869.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
182044
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35397
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
239228
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
304518
393.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46783
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79553
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5019
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5760
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16194
278.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17125
295.9 IPS |
