Mac16,12
Geekbench AI Score
4960
Single Precision Score
8018
Half Precision Score
6428
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | October 13 2025 04:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2102
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3143
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3530
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10104
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19456
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16670
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4260
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4426
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8486
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14046
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9887
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24410
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38793
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31767
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6095
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3373
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5831
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4577
78.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8025
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8057
139.2 IPS |
