Mac mini (2024)
Geekbench AI Score
5378
Single Precision Score
37366
Half Precision Score
50411
Quantized Score
Geekbench AI 1.3.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | March 22 2025 02:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
17489
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22212
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23171
375.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
32513
527.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17255
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122341
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228293
267.6 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
20150
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24445
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4633
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
45632
542.2 IPS |
|
|
Face Detection (Q)
|
100% |
66732
792.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8589
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
109487
843.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
179617
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25897
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238216
306.2 IPS |
|
|
Style Transfer (Q)
|
96% |
305321
394.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46915
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77903
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5784
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5638
97.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16437
284.1 IPS |
