Mac mini (2024)
Geekbench AI Score
5742
Single Precision Score
35421
Half Precision Score
48375
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | hawie |
| Upload Date | March 05 2025 08:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
18291
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
23093
4.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23317
378.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32105
520.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18849
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
124041
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
229222
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
18008
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
23082
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
43958
522.3 IPS |
|
|
Face Detection (Q)
|
100% |
62686
744.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111808
861.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
179221
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35184
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233473
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298412
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40383
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80063
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4393
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4182
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16035
276.2 IPS |
|
|
Machine Translation (Q)
|
98% |
15939
275.4 IPS |
