Mac mini (2024)
Geekbench AI Score
5342
Single Precision Score
37065
Half Precision Score
50161
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | September 07 2025 06:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
17316
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
21839
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23374
378.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32164
521.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17158
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122466
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
228125
267.4 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.4 IPS |
|
|
Object Detection (HP)
|
100% |
19688
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23515
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
45490
540.5 IPS |
|
|
Face Detection (Q)
|
100% |
66209
786.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112104
863.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
176387
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25168
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237937
305.9 IPS |
|
|
Style Transfer (Q)
|
96% |
302381
390.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5955
219.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46313
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77676
2.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5473
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5959
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5518
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16308
280.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16376
283.0 IPS |
