Mac mini (2024)
Geekbench AI Score
8567
Single Precision Score
9501
Half Precision Score
8041
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 07:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.85 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2382
443.1 IPS |
|
|
Image Classification (HP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (Q)
|
97% |
1670
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7079
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9331
151.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7523
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
54299
63.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
56492
65.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
53585
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
3827
303.6 IPS |
|
|
Object Detection (HP)
|
100% |
3774
299.4 IPS |
|
|
Object Detection (Q)
|
91% |
3501
279.7 IPS |
|
|
Face Detection (SP)
|
100% |
14103
167.6 IPS |
|
|
Face Detection (HP)
|
100% |
14427
171.4 IPS |
|
|
Face Detection (Q)
|
100% |
11192
133.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20732
159.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20732
159.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
18479
144.4 IPS |
|
|
Style Transfer (SP)
|
100% |
111929
143.9 IPS |
|
|
Style Transfer (HP)
|
100% |
124505
160.1 IPS |
|
|
Style Transfer (Q)
|
96% |
116011
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12385
457.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12444
459.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9197
339.6 IPS |
|
|
Text Classification (SP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1415
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.5 IPS |
