Mac mini (2024)
Geekbench AI Score
5320
Single Precision Score
37966
Half Precision Score
50249
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 15 2025 03:25 PM |
| Views | 3 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
384.0 IPS |
|
|
Image Classification (HP)
|
100% |
17842
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22437
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23341
378.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32243
522.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16832
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122551
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
229185
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
100% |
20242
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24647
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
45905
545.5 IPS |
|
|
Face Detection (Q)
|
100% |
59926
712.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112001
862.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
178386
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25279
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
238200
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
304447
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46820
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82925
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5467
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5446
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17184
296.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17024
294.2 IPS |
