Mac mini (2024)
Geekbench AI Score
5343
Single Precision Score
37189
Half Precision Score
50507
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | werfree |
| Upload Date | April 13 2025 05:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.47 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
18438
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
22040
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2255
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23299
377.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32233
522.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17051
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
122744
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229890
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
100% |
19959
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24449
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4588
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
45424
539.7 IPS |
|
|
Face Detection (Q)
|
100% |
67342
800.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8604
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111828
861.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177225
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
25334
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237050
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303289
391.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46736
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80899
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5272
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5579
96.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16208
279.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17057
294.8 IPS |
