Mac mini (2024)
Geekbench AI Score
4823
Single Precision Score
37108
Half Precision Score
52563
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 18 2025 01:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
18034
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
25429
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21958
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30378
492.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9866
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123277
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233628
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
18397
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26162
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
44986
534.5 IPS |
|
|
Face Detection (Q)
|
100% |
63602
755.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8680
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99924
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168513
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21762
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234096
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300168
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49755
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85113
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6387
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6759
9.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16487
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18425
318.4 IPS |
