Mac16,12
Geekbench AI Score
8440
Single Precision Score
9850
Half Precision Score
8652
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | July 01 2025 07:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4080
758.8 IPS |
|
|
Image Classification (HP)
|
100% |
4416
821.2 IPS |
|
|
Image Classification (Q)
|
96% |
4015
749.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6245
101.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6552
106.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6364
103.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22797
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24053
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23862
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4264
338.2 IPS |
|
|
Object Detection (HP)
|
100% |
4719
374.3 IPS |
|
|
Object Detection (Q)
|
92% |
4348
347.1 IPS |
|
|
Face Detection (SP)
|
100% |
11869
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
14436
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
11787
140.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19025
146.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19939
153.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
18293
142.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49903
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55104
70.8 IPS |
|
|
Style Transfer (Q)
|
96% |
53892
69.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9829
362.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9984
368.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8792
324.6 IPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5422
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5629
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2201
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1542
26.6 IPS |
