Mac16,12
Geekbench AI Score
8935
Single Precision Score
10502
Half Precision Score
9839
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 23 2025 10:19 AM |
| 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% |
4479
833.0 IPS |
|
|
Image Classification (HP)
|
100% |
4942
919.0 IPS |
|
|
Image Classification (Q)
|
96% |
4339
810.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7095
115.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7896
128.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7624
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
27112
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30945
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30039
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4627
367.0 IPS |
|
|
Object Detection (HP)
|
100% |
5219
414.0 IPS |
|
|
Object Detection (Q)
|
92% |
4793
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
12748
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16063
190.9 IPS |
|
|
Face Detection (Q)
|
100% |
13538
160.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20042
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21935
169.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20000
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56108
72.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67084
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65361
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11358
419.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11634
429.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5772
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1495
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1632
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1661
28.7 IPS |
