Mac16,12
Geekbench AI Score
9311
Single Precision Score
10922
Half Precision Score
10305
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | December 18 2025 10:17 PM |
| Views | 5 |
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% |
4523
841.2 IPS |
|
|
Image Classification (HP)
|
100% |
4954
921.3 IPS |
|
|
Image Classification (Q)
|
96% |
4435
828.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7123
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7848
127.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7620
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
27186
31.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30975
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30125
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4608
365.5 IPS |
|
|
Object Detection (HP)
|
100% |
5224
414.4 IPS |
|
|
Object Detection (Q)
|
92% |
4783
381.8 IPS |
|
|
Face Detection (SP)
|
100% |
12741
151.4 IPS |
|
|
Face Detection (HP)
|
100% |
16850
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
13644
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19987
154.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22147
170.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
19998
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56317
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67158
86.3 IPS |
|
|
Style Transfer (Q)
|
96% |
65597
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11367
419.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11594
428.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10210
377.0 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5686
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2670
46.1 IPS |
