Mac16,12
Geekbench AI Score
8236
Single Precision Score
9249
Half Precision Score
8873
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 09:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4136
769.2 IPS |
|
|
Image Classification (HP)
|
100% |
4327
804.7 IPS |
|
|
Image Classification (Q)
|
96% |
3971
741.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6262
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6706
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6450
104.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22053
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24992
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24439
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4288
340.1 IPS |
|
|
Object Detection (HP)
|
100% |
4681
371.3 IPS |
|
|
Object Detection (Q)
|
92% |
4334
346.0 IPS |
|
|
Face Detection (SP)
|
100% |
11866
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
14493
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
11835
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18407
141.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20050
154.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
18218
142.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49118
63.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56346
72.4 IPS |
|
|
Style Transfer (Q)
|
96% |
54566
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9373
346.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9951
367.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8694
321.0 IPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5576
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1783
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1956
33.8 IPS |
