Mac mini (2024)
Geekbench AI Score
5327
Single Precision Score
38568
Half Precision Score
52506
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jms_ch |
| Upload Date | June 09 2025 01:46 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
19100
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
24190
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23469
380.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33488
542.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17222
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
124246
145.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
227414
266.5 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
20465
1.62 KIPS |
|
|
Object Detection (Q)
|
91% |
24591
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4598
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
45258
537.8 IPS |
|
|
Face Detection (Q)
|
100% |
66536
790.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8500
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111181
856.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178486
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25196
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
241449
310.4 IPS |
|
|
Style Transfer (Q)
|
96% |
304617
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5902
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47817
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84259
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6397
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6506
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5698
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17193
296.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17729
306.4 IPS |
