Mac mini (2024)
Geekbench AI Score
4855
Single Precision Score
37295
Half Precision Score
52149
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | simon07 |
| Upload Date | June 19 2025 03:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2094
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
17605
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
26662
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21959
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30294
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123064
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231991
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
19166
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26963
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4296
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
44657
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
57499
683.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8733
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100454
773.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168299
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21807
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234982
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299268
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51462
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85365
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6292
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6393
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16729
288.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18629
321.9 IPS |
