Mac mini (2024)
Geekbench AI Score
12775
Single Precision Score
14275
Half Precision Score
12576
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | stefanobolognini |
| Upload Date | March 14 2025 09:58 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
6980
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7282
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6174
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10776
174.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11152
180.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11279
182.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45749
53.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
48226
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45574
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
6717
532.8 IPS |
|
|
Object Detection (HP)
|
100% |
7269
576.6 IPS |
|
|
Object Detection (Q)
|
91% |
5944
475.0 IPS |
|
|
Face Detection (SP)
|
100% |
23136
274.9 IPS |
|
|
Face Detection (HP)
|
100% |
25372
301.5 IPS |
|
|
Face Detection (Q)
|
100% |
18353
218.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31586
243.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32886
253.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
27285
213.2 IPS |
|
|
Style Transfer (SP)
|
100% |
104310
134.1 IPS |
|
|
Style Transfer (HP)
|
100% |
113739
146.2 IPS |
|
|
Style Transfer (Q)
|
96% |
106988
138.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17198
635.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18237
673.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13810
509.9 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5157
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5156
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1376
23.8 IPS |
