Mac16,12
Geekbench AI Score
4845
Single Precision Score
7929
Half Precision Score
6315
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | August 21 2025 11:57 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3468
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9945
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19394
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16551
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4148
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
4347
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8426
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13746
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9681
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23010
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38802
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31847
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7177
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5675
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4494
77.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7807
134.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7707
133.2 IPS |
