Mac mini (2024)
Geekbench AI Score
7911
Single Precision Score
9407
Half Precision Score
8751
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | April 11 2025 07:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 2.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4186
778.5 IPS |
|
|
Image Classification (HP)
|
100% |
4522
841.0 IPS |
|
|
Image Classification (Q)
|
96% |
4050
756.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6690
108.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7310
118.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7345
119.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19550
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
22623
26.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
22226
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3938
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
4624
366.8 IPS |
|
|
Object Detection (Q)
|
92% |
4224
337.2 IPS |
|
|
Face Detection (SP)
|
100% |
10492
124.7 IPS |
|
|
Face Detection (HP)
|
100% |
14073
167.2 IPS |
|
|
Face Detection (Q)
|
100% |
10164
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17806
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19651
151.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
18509
144.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51853
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60037
77.2 IPS |
|
|
Style Transfer (Q)
|
96% |
61506
79.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11861
438.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12098
446.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11023
407.0 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2964
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2495
43.1 IPS |
