Mac16,13
Geekbench AI Score
4707
Single Precision Score
7772
Half Precision Score
6283
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dlambl |
| Upload Date | March 29 2025 02:12 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3277
609.4 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3623
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9912
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16495
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
3887
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
7402
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4369
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14556
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10182
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25201
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38258
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31636
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5894
217.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6838
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4813
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5432
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5398
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6997
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
