Mac16,12
Geekbench AI Score
9324
Single Precision Score
10466
Half Precision Score
9838
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | January 14 2026 10:02 PM |
| Views | 10 |
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% |
4448
827.3 IPS |
|
|
Image Classification (HP)
|
100% |
4946
919.9 IPS |
|
|
Image Classification (Q)
|
96% |
4450
831.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7098
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7734
125.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7604
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
27113
31.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30943
36.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
30070
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4610
365.6 IPS |
|
|
Object Detection (HP)
|
100% |
5216
413.8 IPS |
|
|
Object Detection (Q)
|
92% |
4786
382.1 IPS |
|
|
Face Detection (SP)
|
100% |
12752
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
15834
188.1 IPS |
|
|
Face Detection (Q)
|
100% |
13491
160.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20003
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21966
169.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
20077
156.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56211
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66997
86.1 IPS |
|
|
Style Transfer (Q)
|
96% |
65399
84.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11382
420.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11573
427.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10295
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
5744
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5718
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2260
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1674
28.9 IPS |
