Mac16,12
Geekbench AI Score
8958
Single Precision Score
11021
Half Precision Score
9835
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 21 2025 10:24 AM |
| Views | 6 |
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% |
4529
842.2 IPS |
|
|
Image Classification (HP)
|
100% |
4916
914.2 IPS |
|
|
Image Classification (Q)
|
96% |
4341
810.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7118
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7749
125.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7677
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27184
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30972
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30059
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4625
366.9 IPS |
|
|
Object Detection (HP)
|
100% |
5192
411.8 IPS |
|
|
Object Detection (Q)
|
92% |
4776
381.3 IPS |
|
|
Face Detection (SP)
|
100% |
12779
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16072
191.0 IPS |
|
|
Face Detection (Q)
|
100% |
13549
161.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19908
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22035
169.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20093
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56016
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66991
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65402
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11403
421.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11633
429.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10293
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5890
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2655
45.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1661
28.7 IPS |
