Mac Mini M4 Pro Mac16,11
Geekbench AI Score
5731
Single Precision Score
36489
Half Precision Score
49382
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jridder |
| Upload Date | November 09 2024 03:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
16934
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
23736
4.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23154
375.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32059
519.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18984
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123227
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231043
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
19374
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
24266
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4494
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
44296
526.3 IPS |
|
|
Face Detection (Q)
|
100% |
63308
752.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8732
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111121
856.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176079
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
34854
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
238486
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303820
392.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7024
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46325
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77201
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5035
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4722
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5720
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16327
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16375
283.0 IPS |
