Mac16,12
Geekbench AI Score
8315
Single Precision Score
9604
Half Precision Score
8713
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | nahid1024 |
| Upload Date | October 27 2025 06:20 PM |
| Views | 4 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4123
766.8 IPS |
|
|
Image Classification (HP)
|
100% |
4352
809.3 IPS |
|
|
Image Classification (Q)
|
96% |
3969
741.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6256
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6696
108.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6438
104.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22022
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25029
29.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24456
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
4271
338.8 IPS |
|
|
Object Detection (HP)
|
100% |
4623
366.7 IPS |
|
|
Object Detection (Q)
|
92% |
4329
345.6 IPS |
|
|
Face Detection (SP)
|
100% |
11783
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
14517
172.5 IPS |
|
|
Face Detection (Q)
|
100% |
11783
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18369
141.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20608
158.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18361
143.4 IPS |
|
|
Style Transfer (SP)
|
100% |
49145
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56327
72.4 IPS |
|
|
Style Transfer (Q)
|
96% |
54640
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9446
348.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10028
370.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8747
323.0 IPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5816
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1550
26.8 IPS |
