Mac mini (2024)
Geekbench AI Score
5561
Single Precision Score
37364
Half Precision Score
50334
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 11:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17650
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22206
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23426
379.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32485
526.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16973
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122486
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229731
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
19937
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24345
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4616
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
43852
521.1 IPS |
|
|
Face Detection (Q)
|
100% |
62881
747.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8252
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110413
850.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
174532
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
29866
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234154
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
325026
419.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6973
257.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49572
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82146
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5395
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5333
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16652
286.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16367
282.8 IPS |
