Mac mini (2024)
Geekbench AI Score
12723
Single Precision Score
14230
Half Precision Score
12535
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sfoskett |
| Upload Date | December 10 2024 04:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6935
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7372
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6350
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10673
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11180
181.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11393
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
46281
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48270
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45755
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6786
538.3 IPS |
|
|
Object Detection (HP)
|
100% |
7271
576.7 IPS |
|
|
Object Detection (Q)
|
91% |
6020
481.1 IPS |
|
|
Face Detection (SP)
|
100% |
23536
279.7 IPS |
|
|
Face Detection (HP)
|
100% |
24878
295.6 IPS |
|
|
Face Detection (Q)
|
100% |
18447
219.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
31092
239.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32899
253.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
27013
211.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104644
134.5 IPS |
|
|
Style Transfer (HP)
|
100% |
112831
145.0 IPS |
|
|
Style Transfer (Q)
|
96% |
106977
138.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16557
611.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17203
635.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13780
508.8 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5219
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5219
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1420
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1254
21.7 IPS |
