Mac mini (2024)
Geekbench AI Score
4413
Single Precision Score
37183
Half Precision Score
52958
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | March 20 2025 12:49 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.25 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1871
347.9 IPS |
|
|
Image Classification (HP)
|
100% |
17828
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
26360
4.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1971
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22329
362.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30705
497.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9299
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
124998
145.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
234993
275.4 IPS |
|
|
Object Detection (SP)
|
100% |
2153
170.8 IPS |
|
|
Object Detection (HP)
|
100% |
18968
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26283
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3598
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
45869
545.0 IPS |
|
|
Face Detection (Q)
|
100% |
66461
789.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7830
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100221
772.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
170527
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23382
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
240470
309.1 IPS |
|
|
Style Transfer (Q)
|
96% |
305000
393.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5342
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49261
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87974
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6510
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6778
9.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15102
260.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16840
291.0 IPS |
