Mac16,12
Geekbench AI Score
9379
Single Precision Score
10531
Half Precision Score
9823
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 25 2025 07:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4476
832.5 IPS |
|
|
Image Classification (HP)
|
100% |
4933
917.4 IPS |
|
|
Image Classification (Q)
|
96% |
4376
817.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7135
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7873
127.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7650
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27200
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30979
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30082
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4653
369.1 IPS |
|
|
Object Detection (HP)
|
100% |
5221
414.2 IPS |
|
|
Object Detection (Q)
|
92% |
4779
381.4 IPS |
|
|
Face Detection (SP)
|
100% |
12797
152.1 IPS |
|
|
Face Detection (HP)
|
100% |
16073
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
13508
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20015
154.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
21953
169.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
20031
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56197
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67173
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65365
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11377
420.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11606
428.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10280
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
5861
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5776
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2306
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1656
28.6 IPS |
