Mac16,12
Geekbench AI Score
9361
Single Precision Score
11124
Half Precision Score
9803
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 28 2025 11:07 PM |
| 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% |
4472
831.7 IPS |
|
|
Image Classification (HP)
|
100% |
5167
961.0 IPS |
|
|
Image Classification (Q)
|
96% |
4350
812.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7141
115.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7753
125.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7614
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27176
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30978
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30127
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4651
368.9 IPS |
|
|
Object Detection (HP)
|
100% |
5230
414.8 IPS |
|
|
Object Detection (Q)
|
92% |
4787
382.1 IPS |
|
|
Face Detection (SP)
|
100% |
12814
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16776
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
13557
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20059
154.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21916
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20097
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
56308
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67535
86.8 IPS |
|
|
Style Transfer (Q)
|
96% |
65430
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11362
419.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11594
428.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10296
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5898
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2296
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2635
45.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1647
28.5 IPS |
