Mac mini (2024)
Geekbench AI Score
5750
Single Precision Score
37128
Half Precision Score
49997
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 04:23 PM |
| Views | 10 |
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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2151
400.1 IPS |
|
|
Image Classification (HP)
|
100% |
17237
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
21348
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23371
378.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31619
512.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17500
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122386
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230806
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2554
202.6 IPS |
|
|
Object Detection (HP)
|
100% |
19585
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
24272
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
44572
529.6 IPS |
|
|
Face Detection (Q)
|
100% |
62434
741.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110458
851.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175697
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30305
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237750
305.6 IPS |
|
|
Style Transfer (Q)
|
96% |
326108
420.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7056
260.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48980
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78959
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5568
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5980
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16149
278.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16361
282.7 IPS |
