Mac mini (2024)
Geekbench AI Score
5758
Single Precision Score
36077
Half Precision Score
48553
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 01:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
17322
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22166
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23195
376.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
32143
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18915
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123258
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231149
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
19590
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
23203
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
44392
527.5 IPS |
|
|
Face Detection (Q)
|
100% |
63884
759.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8888
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105906
815.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179394
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
35276
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238197
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301617
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45877
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77228
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2849
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4521
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
4440
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5758
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16577
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16077
277.8 IPS |
