Mac mini (2024)
Geekbench AI Score
12649
Single Precision Score
13978
Half Precision Score
12507
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 01:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
6854
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7318
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6170
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10736
174.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11114
180.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11213
181.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46187
53.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48195
56.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
45622
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6647
527.2 IPS |
|
|
Object Detection (HP)
|
100% |
7229
573.4 IPS |
|
|
Object Detection (Q)
|
91% |
5904
471.7 IPS |
|
|
Face Detection (SP)
|
100% |
23402
278.1 IPS |
|
|
Face Detection (HP)
|
100% |
24193
287.5 IPS |
|
|
Face Detection (Q)
|
100% |
18509
219.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30759
237.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32648
251.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
27779
217.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104121
133.8 IPS |
|
|
Style Transfer (HP)
|
100% |
112374
144.5 IPS |
|
|
Style Transfer (Q)
|
96% |
106676
137.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16388
605.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16796
620.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13791
509.2 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5018
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4954
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1314
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1342
23.2 IPS |
