Mac16,12
Geekbench AI Score
4933
Single Precision Score
8021
Half Precision Score
6431
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 03:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.2 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2337
436.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3217
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19486
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16651
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2700
215.2 IPS |
|
|
Face Detection (SP)
|
100% |
4281
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7741
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4471
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14039
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9897
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24377
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38728
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31780
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6081
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7100
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5876
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4579
78.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7958
137.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7984
138.0 IPS |
