Mac16,12
Geekbench AI Score
8288
Single Precision Score
9182
Half Precision Score
9029
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | batu69 |
| Upload Date | September 02 2025 01:51 AM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4042
751.7 IPS |
|
|
Image Classification (HP)
|
100% |
4275
794.9 IPS |
|
|
Image Classification (Q)
|
96% |
4010
748.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6260
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6572
106.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6352
103.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22781
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24054
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23858
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4267
338.4 IPS |
|
|
Object Detection (HP)
|
100% |
4687
371.8 IPS |
|
|
Object Detection (Q)
|
92% |
4262
340.2 IPS |
|
|
Face Detection (SP)
|
100% |
11855
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
14295
169.8 IPS |
|
|
Face Detection (Q)
|
100% |
11696
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18815
145.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19913
153.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
18272
142.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49993
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55094
70.8 IPS |
|
|
Style Transfer (Q)
|
96% |
53843
69.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9771
360.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9976
368.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8788
324.5 IPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2528
43.7 IPS |
