Mac mini (2024)
Geekbench AI Score
5747
Single Precision Score
8799
Half Precision Score
6800
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | December 09 2024 02:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
3011
559.9 IPS |
|
|
Image Classification (Q)
|
96% |
2169
405.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3472
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3897
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18919
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30694
35.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
23624
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7801
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8771
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14031
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9890
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35446
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48682
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38522
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6986
258.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9431
348.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5233
193.2 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5177
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5721
98.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8645
149.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8639
149.3 IPS |
