Mac16,13
Geekbench AI Score
4747
Single Precision Score
7842
Half Precision Score
6282
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | harman767 |
| Upload Date | April 19 2025 02:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| 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% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.7 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3172
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3516
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9887
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19291
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16475
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4045
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7313
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4245
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8527
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14484
112.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20492
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38358
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31695
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7317
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5114
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4296
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7057
121.9 IPS |
