Mac16,12
Geekbench AI Score
9283
Single Precision Score
10787
Half Precision Score
10673
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sourxxbh |
| Upload Date | September 25 2025 05:11 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
4580
851.8 IPS |
|
|
Image Classification (HP)
|
100% |
4952
921.0 IPS |
|
|
Image Classification (Q)
|
96% |
4603
859.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7353
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8119
131.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7636
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27251
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31004
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30286
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
4617
366.2 IPS |
|
|
Object Detection (HP)
|
100% |
5204
412.8 IPS |
|
|
Object Detection (Q)
|
92% |
4936
394.0 IPS |
|
|
Face Detection (SP)
|
100% |
12732
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16893
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
13383
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20065
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23207
178.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20497
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55565
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67637
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65590
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11388
420.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12024
444.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10706
395.3 IPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5733
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3308
57.2 IPS |
