Mac mini (2024)
Geekbench AI Score
5343
Single Precision Score
37116
Half Precision Score
50254
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveporter |
| Upload Date | June 14 2025 06:47 PM |
| Views | 5 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
17988
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22854
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23275
377.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32037
519.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17261
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122682
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229946
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
19954
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24979
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4535
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44328
526.7 IPS |
|
|
Face Detection (Q)
|
100% |
66880
794.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8597
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105974
816.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
178104
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25153
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238322
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298935
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46458
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80246
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5277
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5547
95.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16553
285.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16201
280.0 IPS |
