Mac mini (2024)
Geekbench AI Score
14970
Single Precision Score
16777
Half Precision Score
15434
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ymmij |
| Upload Date | January 02 2025 11:01 PM |
| Views | 4 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.48 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7931
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8593
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
7115
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12359
200.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13392
217.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13665
221.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56775
66.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
59360
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56412
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
7418
588.4 IPS |
|
|
Object Detection (HP)
|
100% |
7845
622.2 IPS |
|
|
Object Detection (Q)
|
91% |
6607
528.0 IPS |
|
|
Face Detection (SP)
|
100% |
26222
311.6 IPS |
|
|
Face Detection (HP)
|
100% |
29503
350.6 IPS |
|
|
Face Detection (Q)
|
100% |
21185
251.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34690
267.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
37060
285.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
30946
241.9 IPS |
|
|
Style Transfer (SP)
|
100% |
124573
160.1 IPS |
|
|
Style Transfer (HP)
|
100% |
136249
175.2 IPS |
|
|
Style Transfer (Q)
|
96% |
128625
166.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23620
872.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25294
934.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20514
757.5 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5226
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2342
40.5 IPS |
