Mac mini (2024)
Geekbench AI Score
14854
Single Precision Score
16706
Half Precision Score
15308
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TTT3242309j |
| Upload Date | April 10 2025 12:22 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6949
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7390
1.37 KIPS |
|
|
Image Classification (Q)
|
96% |
6819
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12336
200.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12937
209.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12201
197.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46111
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48224
56.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46978
55.0 IPS |
|
|
Object Detection (SP)
|
100% |
6532
518.1 IPS |
|
|
Object Detection (HP)
|
100% |
7304
579.4 IPS |
|
|
Object Detection (Q)
|
92% |
6815
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
24095
286.3 IPS |
|
|
Face Detection (HP)
|
100% |
24297
288.7 IPS |
|
|
Face Detection (Q)
|
100% |
21209
252.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
31117
239.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33023
254.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29979
234.4 IPS |
|
|
Style Transfer (SP)
|
100% |
104954
134.9 IPS |
|
|
Style Transfer (HP)
|
100% |
113616
146.1 IPS |
|
|
Style Transfer (Q)
|
96% |
111055
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16926
625.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17748
655.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16507
609.5 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5358
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5343
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5218
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5801
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4261
73.6 IPS |
