Mac16,12
Geekbench AI Score
9033
Single Precision Score
10959
Half Precision Score
10264
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | February 15 2026 05:03 PM |
| Views | 7 |
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% |
4682
870.7 IPS |
|
|
Image Classification (HP)
|
100% |
5086
945.9 IPS |
|
|
Image Classification (Q)
|
96% |
4680
873.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7084
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7913
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7707
124.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27089
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31043
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30246
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
5235
415.3 IPS |
|
|
Object Detection (Q)
|
92% |
4856
387.7 IPS |
|
|
Face Detection (SP)
|
100% |
12284
146.0 IPS |
|
|
Face Detection (HP)
|
100% |
16540
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
13375
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20111
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22373
172.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
20602
160.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53637
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67206
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
64992
83.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11510
425.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11863
438.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10433
385.3 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2201
37.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2205
38.1 IPS |
