Mac mini (2024)
Geekbench AI Score
12679
Single Precision Score
14190
Half Precision Score
12700
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | joostl |
| Upload Date | February 07 2025 02:11 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6960
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7301
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6281
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10568
171.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11071
179.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11308
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46271
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48327
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45826
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6781
537.9 IPS |
|
|
Object Detection (HP)
|
100% |
7321
580.7 IPS |
|
|
Object Detection (Q)
|
91% |
6020
481.1 IPS |
|
|
Face Detection (SP)
|
100% |
22408
266.3 IPS |
|
|
Face Detection (HP)
|
100% |
25574
303.9 IPS |
|
|
Face Detection (Q)
|
100% |
18826
223.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30958
238.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32936
253.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
27566
215.4 IPS |
|
|
Style Transfer (SP)
|
100% |
104807
134.7 IPS |
|
|
Style Transfer (HP)
|
100% |
112819
145.0 IPS |
|
|
Style Transfer (Q)
|
96% |
107155
138.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16488
608.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17251
637.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13902
513.3 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5174
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1393
24.1 IPS |
