Mac mini (2024)
Geekbench AI Score
4763
Single Precision Score
36712
Half Precision Score
51994
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 09 2025 11:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
17749
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
25020
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22070
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30489
494.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10099
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123775
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
234232
274.5 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
18358
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26163
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
43445
516.2 IPS |
|
|
Face Detection (Q)
|
100% |
62003
736.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8458
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99352
765.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168226
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25458
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231573
297.7 IPS |
|
|
Style Transfer (Q)
|
96% |
300353
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49626
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87459
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6110
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6210
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3967
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16489
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18154
313.7 IPS |
