Mac16,13
Geekbench AI Score
4805
Single Precision Score
7873
Half Precision Score
6330
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | yerts |
| Upload Date | April 08 2025 08:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5042g) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.8 IPS |
|
|
Image Classification (Q)
|
96% |
2298
429.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2176
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3195
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3577
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19444
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16661
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.0 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2684
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4223
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7624
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4376
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8595
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14562
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21629
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38588
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31958
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7272
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5057
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5363
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7072
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7185
124.2 IPS |
