Mac16,12
Geekbench AI Score
8926
Single Precision Score
10993
Half Precision Score
10519
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 21 2025 10:21 AM |
| Views | 9 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4456
828.6 IPS |
|
|
Image Classification (HP)
|
100% |
4947
919.9 IPS |
|
|
Image Classification (Q)
|
96% |
4344
811.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7110
115.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7764
125.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7634
123.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27176
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30983
36.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30057
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4634
367.5 IPS |
|
|
Object Detection (HP)
|
100% |
5217
413.9 IPS |
|
|
Object Detection (Q)
|
92% |
4795
382.7 IPS |
|
|
Face Detection (SP)
|
100% |
12818
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
15852
188.4 IPS |
|
|
Face Detection (Q)
|
100% |
13507
160.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20065
154.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
21971
169.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20085
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56587
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67006
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65462
84.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11371
419.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11612
428.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5866
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5751
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2613
45.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3306
57.1 IPS |
