Mac mini (2024)
Geekbench AI Score
14388
Single Precision Score
16167
Half Precision Score
14354
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Coin1news |
| Upload Date | December 10 2024 07:42 AM |
| Views | 2 |
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% |
7814
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
8376
1.56 KIPS |
|
|
Image Classification (Q)
|
97% |
7098
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11983
194.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13128
212.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
13272
215.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56868
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
59362
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56141
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7210
571.9 IPS |
|
|
Object Detection (HP)
|
100% |
7729
613.0 IPS |
|
|
Object Detection (Q)
|
91% |
6436
514.3 IPS |
|
|
Face Detection (SP)
|
100% |
25642
304.7 IPS |
|
|
Face Detection (HP)
|
100% |
27068
321.6 IPS |
|
|
Face Detection (Q)
|
100% |
20796
247.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33174
255.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35726
275.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
29252
228.6 IPS |
|
|
Style Transfer (SP)
|
100% |
123640
158.9 IPS |
|
|
Style Transfer (HP)
|
100% |
134498
172.9 IPS |
|
|
Style Transfer (Q)
|
96% |
127338
164.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23071
851.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24382
900.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19764
729.8 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5225
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5121
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1392
24.1 IPS |
