Mac mini (2024)
Geekbench AI Score
15402
Single Precision Score
17299
Half Precision Score
15306
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | darylcheshire |
| Upload Date | December 02 2024 12:14 PM |
| Views | 6 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7517
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
8315
1.55 KIPS |
|
|
Image Classification (Q)
|
97% |
6906
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12050
195.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13036
211.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13294
215.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56831
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59100
69.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
55936
65.6 IPS |
|
|
Object Detection (SP)
|
100% |
7241
574.3 IPS |
|
|
Object Detection (HP)
|
100% |
7663
607.8 IPS |
|
|
Object Detection (Q)
|
91% |
6418
512.8 IPS |
|
|
Face Detection (SP)
|
100% |
25797
306.5 IPS |
|
|
Face Detection (HP)
|
100% |
27577
327.7 IPS |
|
|
Face Detection (Q)
|
100% |
21282
252.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33365
257.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36035
277.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
29302
229.0 IPS |
|
|
Style Transfer (SP)
|
100% |
124295
159.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134058
172.3 IPS |
|
|
Style Transfer (Q)
|
96% |
127029
163.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22740
839.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23986
885.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19424
717.2 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2826
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2945
50.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2697
46.6 IPS |
