Mac16,12
Geekbench AI Score
8912
Single Precision Score
10945
Half Precision Score
9782
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | computer_lover |
| Upload Date | September 27 2025 07:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4485
834.1 IPS |
|
|
Image Classification (HP)
|
100% |
4843
900.6 IPS |
|
|
Image Classification (Q)
|
96% |
4428
826.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7111
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7784
126.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7643
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27587
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29739
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29410
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4603
365.1 IPS |
|
|
Object Detection (HP)
|
100% |
5238
415.4 IPS |
|
|
Object Detection (Q)
|
92% |
4748
379.0 IPS |
|
|
Face Detection (SP)
|
100% |
12619
149.9 IPS |
|
|
Face Detection (HP)
|
100% |
16069
190.9 IPS |
|
|
Face Detection (Q)
|
100% |
13363
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20513
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21985
169.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20278
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56334
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65982
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64227
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12069
445.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11697
431.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10486
387.2 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5667
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5687
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2721
46.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1637
28.3 IPS |
