Mac mini (2024)
Geekbench AI Score
14473
Single Precision Score
16152
Half Precision Score
14370
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cvgb |
| Upload Date | December 09 2024 02:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
7680
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
8091
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
6935
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12145
196.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13046
211.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13205
214.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56669
66.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
59136
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55956
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7248
574.9 IPS |
|
|
Object Detection (HP)
|
100% |
7702
610.9 IPS |
|
|
Object Detection (Q)
|
91% |
6503
519.6 IPS |
|
|
Face Detection (SP)
|
100% |
25668
305.0 IPS |
|
|
Face Detection (HP)
|
100% |
27228
323.5 IPS |
|
|
Face Detection (Q)
|
100% |
21150
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33318
256.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36053
277.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
29520
230.7 IPS |
|
|
Style Transfer (SP)
|
100% |
123602
158.9 IPS |
|
|
Style Transfer (HP)
|
100% |
134601
173.0 IPS |
|
|
Style Transfer (Q)
|
96% |
127165
164.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23108
853.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24261
895.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19240
710.4 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5174
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1470
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1423
24.6 IPS |
