Mac16,12
Geekbench AI Score
8573
Single Precision Score
9294
Half Precision Score
9269
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | July 23 2025 06:27 PM |
| Views | 10 |
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% |
4076
758.1 IPS |
|
|
Image Classification (HP)
|
100% |
4366
811.9 IPS |
|
|
Image Classification (Q)
|
96% |
4029
752.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6253
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6515
105.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6367
103.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22853
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24029
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23864
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
4268
338.5 IPS |
|
|
Object Detection (HP)
|
100% |
4714
373.9 IPS |
|
|
Object Detection (Q)
|
92% |
4299
343.2 IPS |
|
|
Face Detection (SP)
|
100% |
11828
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
14307
170.0 IPS |
|
|
Face Detection (Q)
|
100% |
11795
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18795
144.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19832
152.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18194
142.1 IPS |
|
|
Style Transfer (SP)
|
100% |
50117
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
55139
70.9 IPS |
|
|
Style Transfer (Q)
|
96% |
53938
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9792
361.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9973
368.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8804
325.1 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5563
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2663
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3140
54.3 IPS |
