Mac16,12
Geekbench AI Score
9394
Single Precision Score
10584
Half Precision Score
10292
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 31 2025 08:58 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4595
854.5 IPS |
|
|
Image Classification (HP)
|
100% |
5060
940.9 IPS |
|
|
Image Classification (Q)
|
96% |
4343
811.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7100
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7663
124.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7666
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27161
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30980
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30063
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4615
366.1 IPS |
|
|
Object Detection (HP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (Q)
|
92% |
4797
382.9 IPS |
|
|
Face Detection (SP)
|
100% |
12768
151.7 IPS |
|
|
Face Detection (HP)
|
100% |
16844
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
13521
160.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19986
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
21904
168.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
20092
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56226
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
67016
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
65410
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11429
422.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11580
427.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
5916
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2585
44.7 IPS |
