Mac mini (2024)
Geekbench AI Score
16306
Single Precision Score
17395
Half Precision Score
15669
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 11:58 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7852
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8417
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
7626
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14426
233.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15241
247.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14443
234.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56291
65.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
56994
66.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
56197
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
7159
567.9 IPS |
|
|
Object Detection (HP)
|
100% |
7711
611.6 IPS |
|
|
Object Detection (Q)
|
92% |
6951
554.9 IPS |
|
|
Face Detection (SP)
|
100% |
26196
311.3 IPS |
|
|
Face Detection (HP)
|
100% |
29264
347.7 IPS |
|
|
Face Detection (Q)
|
100% |
24250
288.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33713
259.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35058
270.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
32059
250.4 IPS |
|
|
Style Transfer (SP)
|
100% |
124732
160.3 IPS |
|
|
Style Transfer (HP)
|
100% |
131522
169.1 IPS |
|
|
Style Transfer (Q)
|
96% |
129327
166.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23619
872.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20938
773.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19617
724.4 IPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5242
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2025
35.0 IPS |
